Data Driven Machine Learning Model for Condition Monitoring and Anomaly Detection in Power Grids

Conference paper


Saleem, K., Alkan, B. and Dudley-Mcevoy, S. (2023). Data Driven Machine Learning Model for Condition Monitoring and Anomaly Detection in Power Grids. 2023 IEEE Power & Energy Society General Meeting. Orlando, Florida, US 10 - 16 Jul 2023 Institute of Electrical and Electronics Engineers (IEEE).
AuthorsSaleem, K., Alkan, B. and Dudley-Mcevoy, S.
TypeConference paper
Abstract

The power system complexity and associated stability problems are greatly linked to the increasing penetration of unconventional energy sources and loads, such as renewable energies. The application of renewable for climate change, sustainability, and Net Zero come at the cost of deteriorated power quality, faults, instability, and disturbances in the power system. It gives rise to various problems such as equipment malfunctioning, power factor problems, transformer heating, inertia, voltage sags/swells, transmission lines overloading, etc. This requires and adjudicates the need for efficient monitoring and identification of faults and anomalies happening in the power system so as to accordingly mitigate these in a timely manner. The fault data however is not readily available and requires on-site inspection and accumulation. This paper thus aims at developing a synthetic database for various abnormal power system conditions captured from a well-known Kundr's two-area system. These include symmetrical and asymmetrical faults, frequency, and phase variations, as well as voltage amplitude disturbances (sag/swell). The synthetic database is then combined with artificial intelligence techniques to enable fault detection and identification featuring low linear complexity and small memory requirements. The paper includes a benchmark study for three unsupervised anomaly detection algorithms, evaluating their performance in terms of both Area under the ROC Curve (AUC) and the execution time. The results show that iForest and iNNE provide competitive results in detecting anomalies of all fault types, with iNNE providing significantly better execution time performance.

KeywordsRenewable penetration, power system faults, grid disturbances, anomaly detection, data analytics, unsupervised learning.
Year2023
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Web address (URL)https://pes-gm.org/
Accepted author manuscript
License
File Access Level
Open
Publication dates
Print16 Jul 2023
Publication process dates
Accepted03 Feb 2023
Deposited28 Feb 2023
Additional information

Copyright © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Permalink -

https://openresearch.lsbu.ac.uk/item/9353x

Download files


Accepted author manuscript
  • 162
    total views
  • 42
    total downloads
  • 7
    views this month
  • 3
    downloads this month

Export as

Related outputs

Modified Flower Pollination Algorithm for Energy Forecasting and Demand Management Coupled with Improved Battery Life for Smart Building Micro-Grid
Hamza, Ali, Ali, Zunaib, Dudley, Sandra, Uneeb, Muhammad, Alghamdi, Sultan M and Christofides, Nicholas (2024). Modified Flower Pollination Algorithm for Energy Forecasting and Demand Management Coupled with Improved Battery Life for Smart Building Micro-Grid. 2024 IEEE Texas Power and Energy Conference (TPEC). https://doi.org/10.1109/tpec60005.2024.10472245
Gender classification based on gait analysis using ultrawide band radar augmented with artificial intelligence
Dudley-Mcevoy, S., Saleem, A., Siddiqui, H. and Sehar, R. (2024). Gender classification based on gait analysis using ultrawide band radar augmented with artificial intelligence. Expert Systems with Applications. 249 (PART C). https://doi.org/http10.1016/j.eswa.2024.123843
Power Grid Frequency Forecasting from μPMU Data using Hybrid Vector-Output LSTM network
Dey, M., Wickramarachchi, D., Rana, S.P., Simmons, .C.V and Dudley, S. (2023). Power Grid Frequency Forecasting from μPMU Data using Hybrid Vector-Output LSTM network. 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE). 23 - 26 Oct 2023 IEEE. https://doi.org/10.1109/ISGTEUROPE56780.2023.10408056
Distribution Substation Dynamic Reconfiguration and Reinforcement-Digital Twin Model
Brown, R., Wickramarachchi, W., Ali, Z., Saleem, K. and Dudley-Mcevoy, S. (2023). Distribution Substation Dynamic Reconfiguration and Reinforcement-Digital Twin Model. IEEE Energy Conversion Congress and Exposition (ECCE). Center in Nashville, Tennessee | October 29 – November 2, 2023 29 Oct - 02 Nov 2023 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ECCE53617.2023.10362160
Power Grid Frequency Forecasting from μPMU Data using Hybrid Vector-Output LSTM network
Dey, M., Wickramarachchi, D., Rana, S.P., Simmons, C.v. and Dudley, S. (2023). Power Grid Frequency Forecasting from μPMU Data using Hybrid Vector-Output LSTM network. 2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE). https://doi.org/10.1109/isgteurope56780.2023.10408056
Novel Parameter-Free and Parametric Same Degree Distribution-based Dimensionality Reduction Algorithms for Trustworthy Data Structure Preserving
Hajderanj, L., Chen, D. and Dudley-Mcevoy, S. (2023). Novel Parameter-Free and Parametric Same Degree Distribution-based Dimensionality Reduction Algorithms for Trustworthy Data Structure Preserving. Information Sciences. 661, p. 120030. https://doi.org/10.1016/j.ins.2023.120030
Cost-effective and Resilient Operation of Distribution Grids and 5G Telecommunication
Wang, J., Qiu, D., Wang, Y., Ghosh, S., Pinson, P., Dudley, S. and Strbac, G. (2023). Cost-effective and Resilient Operation of Distribution Grids and 5G Telecommunication. 2023 IEEE Power & Energy Society General Meeting (PESGM). https://doi.org/10.1109/pesgm52003.2023.10252696
Footwear-integrated force sensing resistor sensors: A machine learning approach for categorizing lower limb disorders
Siddiqui, H.U.R., Nawaz, S., Saeed, M., Saleem, A., Raza, M.A., Raza, A., Aslam, M.A. and Dudley, S. (2023). Footwear-integrated force sensing resistor sensors: A machine learning approach for categorizing lower limb disorders. Engineering Applications of Artificial Intelligence. 127, p. 107205. https://doi.org/10.1016/j.engappai.2023.107205
Empowering Lower Limb Disorder Identification through PoseNet and Artificial Intelligence
Siddiqui, H., Saleem, A., Raza, M., Villar, S., Lopez, L., Díez, I., Rustam, F. and Dudley-Mcevoy, S. (2023). Empowering Lower Limb Disorder Identification through PoseNet and Artificial Intelligence. Diagnostics. 13 (18), p. 2881. https://doi.org/10.3390/diagnostics13182881
Huygens Principle-based Microwave Brain Imaging through Finite Difference Time Domain
Movafagh, M., Ghavami, N., Tiberi, G., Dudley-Mcevoy, S. and Ghavami, M. (2023). Huygens Principle-based Microwave Brain Imaging through Finite Difference Time Domain. 2023 IEEE Conference on Antenna Measurements & Applications. Genoa, Italy 15 - 17 Nov 2023 Institute of Electrical and Electronics Engineers (IEEE).
Enhancing Cricket Performance Analysis with Human Pose Estimation and Machine Learning
Siddiqui, H., Faizan Y., Rustam, F., Soriano, E., Ballester, J.B., Díez, I., Dudley-Mcevoy, S. and Ashraf, I. (2023). Enhancing Cricket Performance Analysis with Human Pose Estimation and Machine Learning. Sensors. 23 (15), p. 6839. https://doi.org/10.3390/s23156839
A digital life-cycle management framework for sustainable smart manufacturing in energy intensive industries
Chinnathai, M. and Alkan, B. (2023). A digital life-cycle management framework for sustainable smart manufacturing in energy intensive industries. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2023.138259
Multiobjective Optimized Smart Charge Controller for Electric Vehicle Applications
Ali, Z., Putrus, G., Marzband, M., Gholinejad, H., Saleem, K. and Subudhi, B. (2023). Multiobjective Optimized Smart Charge Controller for Electric Vehicle Applications. IEEE Transactions on Industry Applications. 58 (5), pp. 5602-5615. https://doi.org/10.1109/TIA.2022.3164999
Cutting-edge strategies for breast lesions detection through Radiomics in novel microwave imaging technologies: Features' extraction reliability on microwave images from MammoWave device
Tiberi, G., Ghavami, M., Dudley-Mcevoy, S., Ghavami, N. and Alvarez Sánchez-Bayuela, D. (2023). Cutting-edge strategies for breast lesions detection through Radiomics in novel microwave imaging technologies: Features' extraction reliability on microwave images from MammoWave device. ECR 2023. Vienna 01 - 05 Mar 2023 European Society of Radiology. https://doi.org//10.26044/ecr2023/C-18521
A Spiral-like Acquisition Strategy for 3D Huygens' Principle Based Microwave Imaging
Khalid, B., Khalesi, B., Ghavami, N., Raspa, G., Badia, M., Dudley-Mcevoy, S., Ghavami, M. and Tiberi, G. (2023). A Spiral-like Acquisition Strategy for 3D Huygens' Principle Based Microwave Imaging. Photonics & Electromagnetics Research Symposium (Piers) 2023. Prague 06 Jun - 03 Jul 2023 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/PIERS59004.2023.10221326
A Solution Architecture for Energy Monitoring and Visualisation in Smart Factories with Robotic Automation
Webb, L., Tokhi, M. and Alkan, B. (2023). A Solution Architecture for Energy Monitoring and Visualisation in Smart Factories with Robotic Automation. 26th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines CLAWAR 2023. Florianópolis, Brazil 02 - 04 Oct 2023 CLAWAR Association.
Positional Health Assessment of Collaborative Robots based on Long Short-Term Memory Auto-Encoder (LSTMAE) Network
Hasan, M., Webb, L., Hossain, M., Tokhi, M. and Alkan, B. (2023). Positional Health Assessment of Collaborative Robots based on Long Short-Term Memory Auto-Encoder (LSTMAE) Network. 26th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines CLAWAR 2023. Florianópolis, Brazil 02 - 04 Oct 2023 CLAWAR Association.
Variable Structure-Based Control for Dynamic Temperature Setpoint Regulation in Hospital Extreme Healthcare Zones
Hamza, A., Uneeb, M., Ahmad, I., Saleem, K. and Ali, Z. (2023). Variable Structure-Based Control for Dynamic Temperature Setpoint Regulation in Hospital Extreme Healthcare Zones. Energies. 16 (10), p. 4223. https://doi.org/10.3390/en16104223
An Approach to Detect Chronic Obstructive Pulmonary Disease Using UWB Radar-Based Temporal and Spectral Features
Siddiqui, H., Ali Raza, Saleem, A., Rustam, F., Isabel De la Torre, Daniel Gavilanes Aray, Vivian Lipari, Ashraf, I. and Dudley-Mcevoy, S. (2023). An Approach to Detect Chronic Obstructive Pulmonary Disease Using UWB Radar-Based Temporal and Spectral Features. Diagnostics. 13 (6), p. 1096. https://doi.org/10.3390/diagnostics13061096
Radiation-free Microwave Technology for Breast Lesion Detection using Supervised Machine Learning Model
Rana, S., Dey, M., Loretoni, R., Duranti, M., Ghavami, M., Dudley-Mcevoy, S. and Tiberi, G. (2023). Radiation-free Microwave Technology for Breast Lesion Detection using Supervised Machine Learning Model. Tomography. 9 (1), pp. 105-129. https://doi.org/10.3390/tomography9010010
Respiration Based Non-Invasive Approach for Emotion Recognition Using Impulse Radio Ultra Wide Band Radar and Machine Learning
Siddiqui, H., Shahzad, H., Saleem, A., Khan Khakwani, Abdul Baqi, Rustam, F., Lee, E., Ashraf, I. and Dudley-Mcevoy, S. (2021). Respiration Based Non-Invasive Approach for Emotion Recognition Using Impulse Radio Ultra Wide Band Radar and Machine Learning. Sensors. 21 (24), p. e8336. https://doi.org/10.3390/s21248336
A systematic review of physiological signals based driver drowsiness detection systems.
Saleem, A.., Siddiqui, H.U.R., Raza, M.A., Rustam, F., Dudley-Mcevoy, S. and Ashraf, I. (2022). A systematic review of physiological signals based driver drowsiness detection systems. Cognitive neurodynamics. 17 (5), pp. 1229-1259. https://doi.org/10.1007/s11571-022-09898-9
Microgrid Cyberphysical Systems ; Chapter 5 - Control of PV and EV connected smart grid
Ali, Z., Saleem, K., Putrus, G., Marzband, M. and Dudley-Mcevoy, S. (2022). Microgrid Cyberphysical Systems ; Chapter 5 - Control of PV and EV connected smart grid. in: Subudhi, B. (ed.) Elsevier Renewable Energy and Plug-In Vehicle Integration Elsevier Renewable Energy and Plug-In Vehicle Integration.
Detecting Power Grid Frequency Events from μPMU Voltage Phasor Data Using Machine Learning
Dey, M., Rana, S., Wylie, J., Simmons, C. V. and Dudley-Mcevoy, S. (2022). Detecting Power Grid Frequency Events from μPMU Voltage Phasor Data Using Machine Learning. The IET 11th International Conference on Renewable Power Generation. IET London: Savoy Place. 22 - 23 Sep 2022 Institute of Engineering and Technology (IET).
Automatic User Preferences Selection of Smart Hearing Aid Using BioAid
Siddiqui, H., Saleem, A., Raza, M., Kainat Zafar, Riccardo Russo and Dudley-Mcevoy, S. (2022). Automatic User Preferences Selection of Smart Hearing Aid Using BioAid. Sensors. 22 (20), p. 8031. https://doi.org/10.3390/s22208031
3D Huygens Principle based Microwave Imaging through MammoWave Device: Validation through Phantoms.
Khalid, B., Khalesi, B., Ghavami, N., Sani, L., Vispa, A., Madia, M., Dudley-Mcevoy, S., Ghavami, M. and Tiberi, G. (2022). 3D Huygens Principle based Microwave Imaging through MammoWave Device: Validation through Phantoms. IEEE Access. Volume (10), pp. 106770 - 106780. https://doi.org/10.1109/ACCESS.2022.3211957
Respiration-Based COPD Detection Using UWB Radar Incorporation with Machine Learning
Siddiqui, H., Saleem, A., Imran B., Kainat Z., Rustam, F., De la Torre, I., Dudley-Mcevoy, S. and Ashraf, I. (2022). Respiration-Based COPD Detection Using UWB Radar Incorporation with Machine Learning. Electronics. 11 (18), p. 2875. https://doi.org/10.3390/electronics11182875
Automated breast lesion localisation in microwave imaging employing simplified pulse coupled neural network
Dey, M., Rana, S., Loretoni, R., Duranti, M., Sani, L., Vispa, A., Raspa, G., Ghavami, M., Dudley-Mcevoy, S. and Tiberi, G. (2022). Automated breast lesion localisation in microwave imaging employing simplified pulse coupled neural network. PLoS ONE. https://doi.org/10.1371/journal.pone.0271377
Performance Analysis and Benchmarking of PLL-Driven Phasor Measurement Units for Renewable Energy Systems
Ali, Z., Saleem, K., Brown, R., Christofides, N. and Dudley-Mcevoy, S. (2022). Performance Analysis and Benchmarking of PLL-Driven Phasor Measurement Units for Renewable Energy Systems. Energies. 15 (5), p. e1867. https://doi.org/10.3390/en15051867
An End-to-End Big Data Analytics Platform for IoT-enabled Smart Factories: A Case Study of Battery Module Assembly System for Electric Vehicles
Kahveci, S., Alkan, B., Ahmad, M. and Harrison, R. (2022). An End-to-End Big Data Analytics Platform for IoT-enabled Smart Factories: A Case Study of Battery Module Assembly System for Electric Vehicles. Journal of Manufacturing Systems. 63, pp. 214-223. https://doi.org/10.1016/j.jmsy.2022.03.010
Markerless Gait Classification Employing 3D IR-UWB Physiological Motion Sensing
Rana, S., Dey, M., Ghavami, M. and Dudley-Mcevoy, S. (2022). Markerless Gait Classification Employing 3D IR-UWB Physiological Motion Sensing. IEEE Sensors Journal. 22 (7), pp. 6931-6941. https://doi.org/10.1109/JSEN.2022.3154092
A Hybrid Extreme Learning Machine Model with Harris Hawks Optimisation Algorithm: An Optimised Model for Product Demand Forecasting Applications
Chaudhuri, K. D. and Alkan, B. (2022). A Hybrid Extreme Learning Machine Model with Harris Hawks Optimisation Algorithm: An Optimised Model for Product Demand Forecasting Applications. Applied Intelligence. https://doi.org/10.1007/s10489-022-03251-7
An Analytically Based Approach for Evaluating the Impact of the Noise on the Microwave Imaging Detection
Sohani, Behnaz, Abdallah, Adam Degaichia, Tiberi, Gianluigi, Ghavami, Navid, Ghavami, Mohammad and Dudley, Sandra (2021). An Analytically Based Approach for Evaluating the Impact of the Noise on the Microwave Imaging Detection. 2021 Photonics & Electromagnetics Research Symposium (PIERS). https://doi.org/10.1109/piers53385.2021.9695034
Radial Basis Function for Breast Lesion Detection from MammoWave Clinical Data
Rana, S., Dey, M., Riccardo Loretoni, Michele Duranti, Lorenzo Sani, Alessandro Vispa, Ghavami, M., Sandra Dudley and Gianluigi Tiberi (2021). Radial Basis Function for Breast Lesion Detection from MammoWave Clinical Data. Diagnostics. 11 (10). https://doi.org/10.3390/diagnostics11101930
A Novel Approach to Railway Track Faults Detection Using Acoustic Analysis.
Shafique, R., Siddiqui, H., Rustam, F., Ullah, S., Siddique, Muhammad Abubakar, Lee, E., Ashraf, I. and Dudley-Mcevoy, S. (2021). A Novel Approach to Railway Track Faults Detection Using Acoustic Analysis. Sensors. 21 (18). https://doi.org/s21186221
Solar farm voltage anomaly detection using high-resolution μ PMU data-driven unsupervised machine learning
Dey, M., Rana, S., Simmons, Clarke V. and Dudley-Mcevoy, S. (2021). Solar farm voltage anomaly detection using high-resolution μ PMU data-driven unsupervised machine learning. Applied Energy. 303, p. 117656. https://doi.org/10.1016/j.apenergy.2021.117656
Heuristic Multi-Agent Control for Energy Management of Microgrids with Distributed Energy Sources
Ali, Z., Putrus, G., Marzband, M., Tookanlou, M.B., Saleem, K., Ray, P.K. and Subudhi, B. (2021). Heuristic Multi-Agent Control for Energy Management of Microgrids with Distributed Energy Sources. 2021 56th International Universities Power Engineering Conference (UPEC). https://doi.org/10.1109/UPEC50034.2021.9548152
A single-phase synchronization technique for grid-connected energy storage system under faulty grid conditions
Saleem, K., Ali, Z. and K. Mehran (2021). A single-phase synchronization technique for grid-connected energy storage system under faulty grid conditions. IEEE Transactions on Power Electronics. 36 (10), pp. 12019-12032. https://doi.org/10.1109/TPEL.2021.3071418
Online Sensorless Solar Power Forecasting for Microgrid Control and Automation
Ali, Z., Putrus, G., Marzband, M., Tookanlou, M., Saleem, K., Ray, P. and Subudhi, B. (2021). Online Sensorless Solar Power Forecasting for Microgrid Control and Automation. 2021 International Symposium of Asian Control Association on Intelligent Robotics and Industrial Automation (IRIA). Goa, India 20 - 22 Sep 2021 IEEE. https://doi.org/10.1109/IRIA53009.2021.9588690
3D Microwave Imaging Using Huygens Principle: A Phantom-based Validation
Khalid, B., Khalesi, B., Ghavami, N., Tiberi, G., Dudley-Mcevoy, S. and Ghavami, M. (2021). 3D Microwave Imaging Using Huygens Principle: A Phantom-based Validation. Progress In Electromagnetics Research Symposium (PIERS 2021). Hangzhu 21 - 25 Nov 2021 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/PIERS53385.2021.9695090
Performance Comparison of Recent Population-based Metaheuristic Optimisation Algorithms in Mechanical Design Problems of Machinery Components
Alkan, B. and Chinnathai, M.K. (2021). Performance Comparison of Recent Population-based Metaheuristic Optimisation Algorithms in Mechanical Design Problems of Machinery Components. MDPI Machines. 9 (12), p. 341.
3D Microwave Imaging Using Huygens Principle: A Phantom-based Validation
Khalid, B., Khalesi, B., Ghavami, N., Dudley, S., Ghavami, M. and Tiberi, G. (2021). 3D Microwave Imaging Using Huygens Principle: A Phantom-based Validation. 2021 Photonics & Electromagnetics Research Symposium (PIERS). https://doi.org/10.1109/piers53385.2021.9695090
Microwave Imaging for Lung Covid-19 Infection Detection through Huygens Principle
Ghavami, M., Khalesi, B., Khalid, B., Ghavami, N., Dudley-Mcevoy, S. and Tiberi, G. (2021). Microwave Imaging for Lung Covid-19 Infection Detection through Huygens Principle. Progress In Electromagnetics Research Symposium (PIERS 2021). Hangzhu 21 - 25 Nov 2021
Automated breast lesion localisation in microwave imaging employing simplified pulse coupled neural network
Dey, M., Rana, S., Loretoni, R., Duranti, M., Sani, L., Vispa, A., Raspa, G., Ghavami, M., Dudley-Mcevoy, S. and Tiberi, G. (2021). Automated breast lesion localisation in microwave imaging employing simplified pulse coupled neural network. London South Bank University. https://doi.org/10.18744/lsbu.8xz49
Automated terminal unit performance analysis employing x-RBF neural network and associated energy optimisation – A case study based approach
Dey, M., Rana, S. and Dudley-Mcevoy, S. (2021). Automated terminal unit performance analysis employing x-RBF neural network and associated energy optimisation – A case study based approach. Applied Energy. 298, p. 117103. https://doi.org/10.1016/j.apenergy.2021.117103
Non-Invasive Driver Drowsiness Detection System.
Siddiqui, H., Saleem, A., Brown, R., Bademci, B., Lee, E., Rustam, F. and Dudley-Mcevoy, S. (2021). Non-Invasive Driver Drowsiness Detection System. Sensors. 21 (14). https://doi.org/10.3390/s21144833
A novel data-driven approach to support decision-making during production scale-up of assembly systems
Alkan, B. (2021). A novel data-driven approach to support decision-making during production scale-up of assembly systems. Journal of Manufacturing Systems. 59, pp. 577-595. https://doi.org/10.1016/j.jmsy.2021.03.018
Identifying Optimal Granularity Level of Modular Assembly Supply Chains Based on Complexity-Modularity Trade-Off
Alkan, B., Bullock, S. and Galvin, K. (2021). Identifying Optimal Granularity Level of Modular Assembly Supply Chains Based on Complexity-Modularity Trade-Off. IEEE Access. 9, pp. 57907 - 57921. https://doi.org/10.1109/ACCESS.2021.3072955
3D Gait Abnormality Detection Employing Contactless IR-UWB Sensing Phenomenon
Rana, S., Dey, M., Ghavami, M. and Dudley-McEvoy, S. (2021). 3D Gait Abnormality Detection Employing Contactless IR-UWB Sensing Phenomenon. IEEE Transactions on Instrumentation and Measurement. 70. https://doi.org/10.1109/TIM.2021.3069044
Developing Artefact Removal Algorithms to Process Data from a Microwave Imaging Device for Haemorrhagic Stroke Detection
Sohani, B., Puttock, J., Khalesi, B., Ghavami, N., Ghavami, M., Sandra Dudley and Gianluigi Tiberi (2020). Developing Artefact Removal Algorithms to Process Data from a Microwave Imaging Device for Haemorrhagic Stroke Detection. Sensors. 20 (19), p. e5545. https://doi.org/10.3390/s20195545
Online reduced complexity parameter estimation technique for equivalent circuit model of lithium-ion battery
Saleem, K., Mehran, K. and Ali, Z. (2020). Online reduced complexity parameter estimation technique for equivalent circuit model of lithium-ion battery. Electric Power Systems Research. 185, p. 106356. https://doi.org/10.1016/j.epsr.2020.106356
An improved pre-filtering moving average filter based synchronization algorithm for single-phase V2G application
Saleem, K., Mehran, K. and Ali, Z. (2020). An improved pre-filtering moving average filter based synchronization algorithm for single-phase V2G application. 2020 IEEE Energy Conversion Congress and Exposition (ECCE). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ECCE44975.2020.9236406
Assessing operational complexity of manufacturing systems based on algorithmic complexity of key performance indicator time-series
Alkan, B. and Bullock, S. (2020). Assessing operational complexity of manufacturing systems based on algorithmic complexity of key performance indicator time-series. Journal of the Operational Research Society. https://doi.org/10.1080/01605682.2020.1779622
A Design Process Framework to Deal with Non-functional Requirements in Conceptual System Designs
Alkan, B., Seth, B., Galvin, K. and Johnson, A. (2020). A Design Process Framework to Deal with Non-functional Requirements in Conceptual System Designs. Complex Systems Design & Management. Paris 15 - 17 Dec 2020
Improving just-in-time delivery performance of IoT-enabled flexible manufacturing systems with AGV based material transportation
Yao, F, Alkan, B, Ahmad, B and Harrison, R (2020). Improving just-in-time delivery performance of IoT-enabled flexible manufacturing systems with AGV based material transportation. Sensors (Switzerland). 20 (21), pp. 1-25. https://doi.org/10.3390/s20216333
Single- and Multi-Distribution Dimensionality Reduction Approaches for a Better Data Structure Capturing
Hajderanj, L., Chen, D., Grisan, E. and Dudley-McEvoy, S (2020). Single- and Multi-Distribution Dimensionality Reduction Approaches for a Better Data Structure Capturing. IEEE Access. 8, pp. 207141 - 207155. https://doi.org/10.1109/ACCESS.2020.3038460
Free space operating microwave imaging device for bone lesion detection: a phantom investigation
Khalesi, B., Sohani, B., Ghavami, N., Dudley-McEvoy, S., Ghavami, M. and Tiberi, G. (2020). Free space operating microwave imaging device for bone lesion detection: a phantom investigation. IEEE Antennas and Wireless Propagation Letters. https://doi.org/10.1109/LAWP.2020.3034039
UWB Microwave Imaging for Inclusions Detection: Methodology for Comparing Artefact Removal Algorithms
Puttock, J, Sohani, B, Khalesi, B, Tiberi, G, Dudley-McEvoy, S and Ghavami, M (2020). UWB Microwave Imaging for Inclusions Detection: Methodology for Comparing Artefact Removal Algorithms. EAI BODYNETS 2020. Online 21 - 22 Oct 2020
An Experimentally Validated Smart Card UHF Tag Antenna ForFree Space and Near Body Scenarios
Riaz, M., Ghavami, M. and Dudley-McEvoy, S. (2020). An Experimentally Validated Smart Card UHF Tag Antenna ForFree Space and Near Body Scenarios. IET Microwaves, Antennas and Propagation. 14 (13), pp. 1599-1609. https://doi.org/10.1049/iet-map.2019.0603
A Non-Invasive Bone Fracture Monitoring Analysis using an UHF Antenna
Riaz, M, Tiberi, G, Asani, H, Ghavami, M and Dudley-McEvoy, S (2020). A Non-Invasive Bone Fracture Monitoring Analysis using an UHF Antenna. IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing. Porto 20 - 22 Jul 2020 Institute of Electrical and Electronics Engineers (IEEE).
A Case Study Based Approach for Remote Fault Detection Using Multi-Level Machine Learning in A Smart Building
Dey, M, Rana, SP and Dudley, S (2020). A Case Study Based Approach for Remote Fault Detection Using Multi-Level Machine Learning in A Smart Building. Smart Cities. 3 (2), pp. 401-419. https://doi.org/10.3390/smartcities3020021
A framework to predict energy related key performance indicators of manufacturing systems at early design phase
Assad, F, Alkan, B, Chinnathai, MK, Ahmad, MH, Rushforth, EJ and Harrison, R (2019). A framework to predict energy related key performance indicators of manufacturing systems at early design phase. Procedia CIRP. 81, pp. 145-150. https://doi.org/10.1016/j.procir.2019.03.026
A Framework for Pilot Line Scale-up using Digital Manufacturing
Chinnathai, M. K., Al-Mowafy, Z., Alkan, B., Vera, D. and Harrison, R. (2019). A Framework for Pilot Line Scale-up using Digital Manufacturing. Procedia CIRP. 81, pp. 962-967. https://doi.org/10.1016/j.procir.2019.03.235
An experimental investigation on the relationship between perceived assembly complexity and product design complexity
Alkan, B. (2019). An experimental investigation on the relationship between perceived assembly complexity and product design complexity. International Journal on Interactive Design and Manufacturing (IJIDeM). 13 (3), pp. 1145-1157. https://doi.org/10.1007/s12008-019-00556-9
A virtual engineering based approach to verify structural complexity of component-based automation systems in early design phase
Alkan, B. and Harrison, R. (2019). A virtual engineering based approach to verify structural complexity of component-based automation systems in early design phase. Journal of Manufacturing Systems. 53, pp. 18-31. https://doi.org/10.1016/j.jmsy.2019.09.001
Signature Inspired Home Environments Monitoring System Using IR-UWB Technology
Rana, S., Dey, M., Ghavami, M. and Dudley-Mcevoy, S. (2019). Signature Inspired Home Environments Monitoring System Using IR-UWB Technology. Sensors. 19 (2), p. 385. https://doi.org/10.3390/s19020385
Phase-weighted UWB Imaging through Huygens Principle
Tiberi, G, Khalesi, B, Sohani, B, Ghavami, N, Dudley, S and Ghavami, M (2019). Phase-weighted UWB Imaging through Huygens Principle. PhotonIcs & Electromagnetics Research Symposium. Rome, Italy 17 - 20 Jun 2019
Microwave imaging for stroke detection: validation on head-mimicking phantom
Sohani, B, Tiberi, G, Ghavami, N, Ghavami, M, Dudley, S and Rahimi, A (2019). Microwave imaging for stroke detection: validation on head-mimicking phantom. PIERS (hotonIcs & Electromagnetics Research Symposium). Rome, Italy 17 - 20 Jun 2019
Non-Contact Human Gait Identification through IR-UWB Edge Based Monitoring Sensor
Rana, S., Dey, M, Ghavami, M and Dudley-McEvoy, S (2019). Non-Contact Human Gait Identification through IR-UWB Edge Based Monitoring Sensor. IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2019.2926238
Machine Learning Approaches for Automated Lesion Detection in Microwave Breast Imaging Clinical Data
Rana, S., Dey, M., Tiberi, G., Sani, L., Vispa, A., Raspa, G., Duranti, M., Ghavami, M. and Dudley-Mcevoy, S. (2019). Machine Learning Approaches for Automated Lesion Detection in Microwave Breast Imaging Clinical Data. Scientific Reports. 9, p. 10510. https://doi.org/10.1038/s41598-019-46974-3
ITERATOR: A 3D Gait Identification from IR-UWB Technology
Rana, S., Dey, M, Ghavami, M and Dudley, S (2019). ITERATOR: A 3D Gait Identification from IR-UWB Technology. International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (EMBC 2019). Berlin, Germany 23 - 27 Jul 2019
Pilot To Full-Scale Production: A Battery Module Assembly Case Study
Chinnathai, M.K., Alkan, B., Vera, D. and Harrison, R. (2018). Pilot To Full-Scale Production: A Battery Module Assembly Case Study. Procedia CIRP. 72, pp. 796-801. https://doi.org/10.1016/j.procir.2018.03.194
Proposing a Holistic Framework for the Assessment and Management of Manufacturing Complexity through Data-centric and Human-centric Approaches
Alkan, B. (2018). Proposing a Holistic Framework for the Assessment and Management of Manufacturing Complexity through Data-centric and Human-centric Approaches. Proceedings of the 3rd International Conference on Complexity, Future Information Systems and Risk (COMPLEXIS 2018).
Complexity in manufacturing systems and its measures: a literature review
Alkan, B., Vera, D., Ahmad, M., Ahmad, B. and Harrison, R. (2018). Complexity in manufacturing systems and its measures: a literature review. European Journal of Industrial Engineering . 12 (1). https://doi.org/10.1504/EJIE.2018.089883
A Novel Design of UHF RFID Passive Tag Antenna Targeting Smart Cards Limited Area
Riaz, M, Rymar, G, Ghavami, M and Dudley, S (2018). A Novel Design of UHF RFID Passive Tag Antenna Targeting Smart Cards Limited Area. 36th IEEE International Conference on Consumer Electronics (ICCE). Las Vegas, USA 12 - 14 Jan 2018 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICCE.2018.8326224
Smart Building Creation in Large Scale HVAC Environments through Automated Fault Detection and Diagnosis
Dudley, S, Dey, M and Rana, S. (2018). Smart Building Creation in Large Scale HVAC Environments through Automated Fault Detection and Diagnosis. Future Generation Computer Systems. 108, pp. 950-966. https://doi.org/10.1016/j.future.2018.02.019
Remote Vital Sign Recognition Through Machine Learning Augmented UWB
Dudley, S, Rana, S., Dey, M, Brown, R and Siddiqui, H (2018). Remote Vital Sign Recognition Through Machine Learning Augmented UWB. European Conference on Antennas and Propagation. Excel London, Docklands 09 - 13 Apr 2018 London South Bank University. https://doi.org/10.1049/cp.2018.0978
Skin Cancer Detection through Microwaves: Validation on Phantom Measurements
Ghavami, M, Ghavami, N, Khalesi, B, Tiberi, G and Dudley, S (2018). Skin Cancer Detection through Microwaves: Validation on Phantom Measurements. IEEE International Conference on Imaging Systems and Techniques (IST 2018). Krakow, Poland 16 - 18 Oct 2018 https://doi.org/10.1109/IST.2018.8577109
A Self Regulating and Crowdsourced Indoor Positioning System through Wi-Fi Fingerprinting for Multi Storey Building
Rana, S., Dey, M and Dudley, S (2018). A Self Regulating and Crowdsourced Indoor Positioning System through Wi-Fi Fingerprinting for Multi Storey Building. Sensors. 18 (11), pp. 1-15. https://doi.org/10.3390/s18113766
Semi-Supervised Learning Techniques for Automated Fault Detection and Diagnosis of HVAC System
Dudley, S, Dey, M and Rana, S. (2018). Semi-Supervised Learning Techniques for Automated Fault Detection and Diagnosis of HVAC System. IEEE International Conference on Tools with Artificial Intelligence (ICTAI-2018). Volos, Greece 05 - 07 Nov 2018
Automated Peripheral Neuropathy Assessment using Optical Imaging and Foot Anthropometry
Dudley, S, Siddiqui, H, Alty, SR and Spruce, M (2015). Automated Peripheral Neuropathy Assessment using Optical Imaging and Foot Anthropometry. IEEE Transactions on Biomedical Engineering. 62 (8), pp. 1911-1917. https://doi.org/10.1109/TBME.2015.2407056
Automated Semmes Weinstein monofilament examination replication using optical imaging and mechanical probe assembly
Dudley, S, Siddiqui, H, Alty, SR and Spruce, M (2015). Automated Semmes Weinstein monofilament examination replication using optical imaging and mechanical probe assembly. 12th International Symposium on Biomedical Imaging (ISBI). Brooklyn, USA 16 - 19 Apr 2015 London South Bank University. https://doi.org/10.1109/ISBI.2015.7163933
Experimental vital signs estimation using commercially available IR-UWB radar
Adjrad, M, Dudley, S and Ghavami, M (2014). Experimental vital signs estimation using commercially available IR-UWB radar. Radar Conference. Lille 13 - 17 Oct 2014 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/RADAR.2014.7060328
Human Behaviour Model Combining Multiple Sensors
Liao, Z, Buchanan, K, Ghavami, N, Vastardis, N, Adjrad, M, Koch, C, Ghavami, M, Anderson, B, Yang, K, Russo, R and Dudley, S (2015). Human Behaviour Model Combining Multiple Sensors. Conference of the eceee 2015 Summer Study on energy efficiency. Presqu’île de Giens Toulon/Hyères, France 01 - 06 Jun 2015 London South Bank University.
A new approach for event detection using k-means clustering and neural networks.
Oladimeji, MO, Turkey, M, Ghavami, M and Dudley, S (2015). A new approach for event detection using k-means clustering and neural networks. 2015 International Joint Conference on Neural Networks (IJCNN). Killarney Institute of Electrical and Electronics Engineers (IEEE). pp. 1 - 5 https://doi.org/10.1109/IJCNN.2015.7280752
A PID inspired feature extraction method for HVAC terminal units
Dey, M., Gupta, M., Rana, S., Turkey, M. and Dudley-Mcevoy, S. (2017). A PID inspired feature extraction method for HVAC terminal units. IEEE Conference on Technologies for Sustainability (SusTech 2017). Phoenix, Arizona, USA 12 - 14 Nov 2017 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/sustech.2017.8333470
Convertibility Evaluation of Automated Assembly System Designs for High Variety Production
Chinnathai, M.K., Alkan, B. and Harrison, R. (2017). Convertibility Evaluation of Automated Assembly System Designs for High Variety Production. Elsevier BV. https://doi.org/10.1016/j.procir.2017.01.005
Assessing Complexity of Component-Based Control Architectures Used in Modular Automation Systems
Alkan, B., Vera, D., Chinnathai, M. K. and Harrison, R. (2017). Assessing Complexity of Component-Based Control Architectures Used in Modular Automation Systems . International Journal of Computer and Electrical Engineering . 9 (1). https://doi.org/10.17706/ijcee.2017.9.1.393-402
A method to assess assembly complexity of industrial products in early design phase
Alkan, B., Vera, D., Ahmad, B. and Harrison, R. (2017). A method to assess assembly complexity of industrial products in early design phase. IEEE Access. 6, pp. 989-999. https://doi.org/10.1109/ACCESS.2017.2777406
Occupancy based household energy disaggregation using ultra wideband radar and electrical signature profiles
Brown, R., Ghavami, N., Siddiqui, H., Adjrad, M., Ghavami, M. and Dudley-Mcevoy, S. (2017). Occupancy based household energy disaggregation using ultra wideband radar and electrical signature profiles. Energy and Buildings. 141, pp. 134-141. https://doi.org/10.1016/j.enbuild.2017.02.004
HACH: Heuristic Algorithm for Clustering Hierarchy Protocol in Wireless Sensor Network
Dudley, S, Turkey, M and Oladimeji, M. (2017). HACH: Heuristic Algorithm for Clustering Hierarchy Protocol in Wireless Sensor Network. Applied Soft Computing. 55, pp. 452-461. https://doi.org/10.1016/j.asoc.2017.02.016
Experimental Validation of a Thirteen Level H-Bridge Photovoltaic Inverter Configuration
Dudley, S, Loukriz, A and Quinlan, T (2017). Experimental Validation of a Thirteen Level H-Bridge Photovoltaic Inverter Configuration. IEEE EEEIC17 and I&CPS Europe. Milan, Italy 06 - 09 Jun 2017 Institute of Electrical and Electronics Engineers (IEEE).
Unsupervised Learning Techniques for HVAC Terminal Unit Behaviour Analysis
Dey, M, Gupta, M, Turkey, M and Dudley, S (2017). Unsupervised Learning Techniques for HVAC Terminal Unit Behaviour Analysis. IEEE International Conference on Smart City Innovations. Fremont, California, USA 04 - 08 Aug 2017 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/UIC-ATC.2017.8397584
UWB Localization Employing Supervised Learning Method
Rana, S., Dey, M., Siddiqui, H., Tiberi, G., Ghavami, M. and Dudley, S (2017). UWB Localization Employing Supervised Learning Method. IEEE International Conference on Ubiquitous Wireless Broadband 2017. Salamanca, Spain 12 - 15 Sep 2017 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICUWB.2017.8250971
A PID Inspired Feature Extraction for HVAC Terminal Units
Dey, M, Gupta, M, Rana, S., Turkey, M and Dudley, S (2017). A PID Inspired Feature Extraction for HVAC Terminal Units. IEEE Conference on Technologies for Sustainability (SusTech 2017). Phoenix, Arizona, USA 12 - 14 Nov 2017 Institute of Electrical and Electronics Engineers (IEEE).
A Framework for Automatically Realizing Assembly Sequence Changes in a Virtual Manufacturing Environment
Ahmad, M, Ahmad, B, Harrison, R, Alkan, B, Vera, D, Meredith, J and Bindel, A (2016). A Framework for Automatically Realizing Assembly Sequence Changes in a Virtual Manufacturing Environment. Elsevier BV. https://doi.org/10.1016/j.procir.2016.04.178
A Lightweight Approach for Human Factor Assessment in Virtual Assembly Designs: An Evaluation Model for Postural Risk and Metabolic Workload
Alkan, B, Vera, D, Ahmad, M, Ahmad, B and Harrison, R (2016). A Lightweight Approach for Human Factor Assessment in Virtual Assembly Designs: An Evaluation Model for Postural Risk and Metabolic Workload. Elsevier BV. https://doi.org/10.1016/j.procir.2016.02.115
A Model for Complexity Assessment in Manual Assembly Operations Through Predetermined Motion Time Systems
Alkan, B, Vera, D, Ahmad, M, Ahmad, B and Harrison, R (2016). A Model for Complexity Assessment in Manual Assembly Operations Through Predetermined Motion Time Systems. Procedia CIRP. 44, pp. 429-434. https://doi.org/10.1016/j.procir.2016.02.111
Hydrogen Fuel Cell Pick and Place Assembly Systems: Heuristic Evaluation of Reconfigurability and Suitability
Ahmad, M., Ahmad, B., Alkan, B., Vera, D., Harrison, R., Meredith, J. and Bindel, A. (2016). Hydrogen Fuel Cell Pick and Place Assembly Systems: Heuristic Evaluation of Reconfigurability and Suitability. Procedia CIRP. 57, pp. 428-433. https://doi.org/10.1016/j.procir.2016.11.074
The Use of a Complexity Model to Facilitate in the Selection of a Fuel Cell Assembly Sequence
Ahmad, M., Alkan, B., Ahman, B., Vera, D., Harrison, R., Meredith, J. and Bindel, A. (2016). The Use of a Complexity Model to Facilitate in the Selection of a Fuel Cell Assembly Sequence. Procedia CIRP. 44, pp. 169-174. https://doi.org/10.1016/j.procir.2016.02.054
Design Evaluation of Automated Manufacturing Processes Based on Complexity of Control Logic
Alkan, B., Vera, D., Ahmad, M., Ahmad, B. and Harrison, R. (2016). Design Evaluation of Automated Manufacturing Processes Based on Complexity of Control Logic. Procedia CIRP. 50, pp. 141-146. https://doi.org/10.1016/j.procir.2016.05.031
Adaptive robust video broadcast via satellite
Altaf, M, Khan, FA, Khan, N, Ghanbari, M and Dudley, S (2016). Adaptive robust video broadcast via satellite. Multimedia Tools and Applications. 76 (6), pp. 7785-7801. https://doi.org/10.1007/s11042-016-3426-y
Experimental Realization of a Single-Phase Five Level Inverter for PV Applications
Loukriz, A, Dudley, S, Quinlan, T and Walker, S (2016). Experimental Realization of a Single-Phase Five Level Inverter for PV Applications. IEEE Workshop on Control and Modeling for Power Electronics (COMPEL) 2016. Trondheim, Norway 27 - 30 Jun 2016 Institute of Electrical and Electronics Engineers (IEEE).
Huygens Principle based UWB Microwave Imaging Method for Skin Cancer Detection
Ghavami, N, Tiberi, G, Ghavami, M, Dudley, S and Lane, ME (2016). Huygens Principle based UWB Microwave Imaging Method for Skin Cancer Detection. 10th IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing. Prague, Czech Republic 20 - 22 Jul 2016 Institute of Electrical and Electronics Engineers (IEEE).
Iterated Local Search Algorithm for Clustering Wireless Sensor Networks.
Dudley, S, Oladimeji, MO and Turkey, M (2016). Iterated Local Search Algorithm for Clustering Wireless Sensor Networks. 2016 IEEE Congress on Evolutionary Computation (CEC). Vancouver, Canada 24 - 29 Jul 2016 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/CEC.2016.7744200
Development of a Wall Climbing Robotic Ground Penetrating Radar System for Inspection of Vertical Concrete Structures
Sattar, TP, Howlader, MOF and Dudley, S (2016). Development of a Wall Climbing Robotic Ground Penetrating Radar System for Inspection of Vertical Concrete Structures. International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering. 10 (8), pp. 1346-1352.
A heuristic crossover enhanced evolutionary algorithm for clustering wireless sensor network
Oladimeji, MO, Turkey, M and Dudley, S (2016). A heuristic crossover enhanced evolutionary algorithm for clustering wireless sensor network. EvoApplications Evostar 2016. Porto, Portugal 30 Mar - 01 Apr 2016 https://doi.org/10.1007/978-3-319-31204-0_17
A novel single-phase thirteen level inverter for photovoltaic application
Loukriz, A, Dudley, S, Messalti, S, Quinlan, T, Loukriz, A and Walker, S (2016). A novel single-phase thirteen level inverter for photovoltaic application. 8th International Conference on Modelling, Identification and Control (ICMIC-2016). Algiers, Algeria- November 15-17, 2016 15 - 17 Nov 2016 Institute of Electrical and Electronics Engineers (IEEE). pp. 532-537 https://doi.org/10.1109/ICMIC.2016.7804170
A user-centric system architecture for residential energy consumption reduction
Vastardis, N, Adjrad, M, Buchanan, K, Liao, Z, Koch, C, Russo, R, Yang, K, Ghavami, M, Anderson, B and Dudley, S (2014). A user-centric system architecture for residential energy consumption reduction. IEEE Online Conference on Green Communications. Online 12 - 14 Nov 2014 Institute of Electrical and Electronics Engineers (IEEE). pp. 1-7 https://doi.org/10.1109/OnlineGreenCom.2014.7114423