Dealing with missing data for prognostic purposes
Conference paper
Loukopoulos, P, Sampath, S, Pilidis, P, Zolkiewski, G, Bennett, I, Duan, F and Mba, D (2016). Dealing with missing data for prognostic purposes. Prognostics and System Health Management Conference. Chengdu, China 19 - 21 Oct 2016 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/PHM.2016.7819934
| Authors | Loukopoulos, P, Sampath, S, Pilidis, P, Zolkiewski, G, Bennett, I, Duan, F and Mba, D |
|---|---|
| Type | Conference paper |
| Abstract | © 2016 IEEE. Centrifugal compressors are considered one of the most critical components in oil industry, making the minimisation of their downtime and the maximisation of their availability a major target. Maintenance is thought to be a key aspect towards achieving this goal, leading to various maintenance schemes being proposed over the years. Condition based maintenance and prognostics and health management (CBM/PHM), which is relying on the concepts of diagnostics and prognostics, has been gaining ground over the last years due to its ability of being able to plan the maintenance schedule in advance. The successful application of this policy is heavily dependent on the quality of data used and a major issue affecting it, is that of missing data. Missing data's presence may compromise the information contained within a set, thus having a significant effect on the conclusions that can be drawn from the data, as there might be bias or misleading results. Consequently, it is important to address this matter. A number of methodologies to recover the data, called imputation techniques, have been proposed. This paper reviews the most widely used techniques and presents a case study with the use of actual industrial centrifugal compressor data, in order to identify the most suitable ones. |
| Year | 2016 |
| Journal | Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016 |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Digital Object Identifier (DOI) | https://doi.org/10.1109/PHM.2016.7819934 |
| Accepted author manuscript | License File Access Level Open |
| Publication dates | |
| 19 Oct 2016 | |
| Publication process dates | |
| Deposited | 05 May 2018 |
| Accepted | 19 Sep 2016 |
| ISBN | 9781509027781 |
Permalink -
https://openresearch.lsbu.ac.uk/item/871xx
Download files
Accepted author manuscript
| Dealing_with_missing_data_for_prognostics_purposes-2017.pdf | ||
| License: CC BY 4.0 | ||
| File access level: Open | ||
160
total views313
total downloads2
views this month1
downloads this month
Export as
Related outputs
Smart optimized structural control of onshore wind turbines with MR dampers
Fakhry, P., Duan, F., Tokhi, M. and Salem, S. (2024). Smart optimized structural control of onshore wind turbines with MR dampers. Engineering Structures. 299, p. 117131. https://doi.org/10.1016/j.engstruct.2023.117131Electric Vehicles Lithium-Polymer Ion Battery Dynamic Behaviour Charging Identification and Modelling Scheme
Makeen, P., Ghali, H.A., Memon, S., Duan, F. and Besada, P. (2023). Electric Vehicles Lithium-Polymer Ion Battery Dynamic Behaviour Charging Identification and Modelling Scheme. Journal of Dynamics, Monitoring and Diagnostics. https://doi.org/10.37965/jdmd.2023.398Robust structural control of onshore wind turbines using MR dampers
Fakhry, Peter, Salem, Shady, O.Tokhi, Mohammad and Fang, Duan (2023). Robust structural control of onshore wind turbines using MR dampers. Prognostics and Health Management Conference (PHM) 2023. Paris, France 31 May - 02 Jun 2023 IEEE. https://doi.org/10.1109/phm58589.2023.00062Reliability Improvement of Magnetic Corrosion Monitor for Long-Term Applications
Wasif, R., Tokhi, M.O., Rudlin, J., Shirkoohi, G. and Duan, F. (2023). Reliability Improvement of Magnetic Corrosion Monitor for Long-Term Applications. Sensors. 23 (4), p. 2212. https://doi.org/10.3390/s23042212Insightful Electric Vehicle Utility Grid Aggregator Methodology Based on the G2V and V2G Technologies in Egypt
Besada, P., Ghali, H., Memon, S. and Duan, F. (2023). Insightful Electric Vehicle Utility Grid Aggregator Methodology Based on the G2V and V2G Technologies in Egypt. Sustainability. 15 (2), p. 1283. https://doi.org/10.3390/su15021283Impacts of electric vehicle fast charging under dynamic temperature and humidity: Experimental and theoretically validated model analyses
Besada, P., Ghali, H., Saim M. and Duan, F. (2022). Impacts of electric vehicle fast charging under dynamic temperature and humidity: Experimental and theoretically validated model analyses. Energy. 261 (B). https://doi.org/10.1016/j.energy.2022.125335Decoupling the influence of wall thinning and cladding thickness variation pulsed eddy current using principal component analysis
Nafiah, F., Tokhi, M.O., Shirkoohi, M., Duan, F., Zhao, Z. and Rees-Lloyd, O. (2021). Decoupling the influence of wall thinning and cladding thickness variation pulsed eddy current using principal component analysis. IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2021.3100648Development of an MFL Coil Sensor for Testing Pipes in Extreme Temperature Conditions
Sathappan, N., Tokhi, M., Penaluna, L., Zhao, Z., Duan, F., Shirkoohi, G. and Aman K. (2021). Development of an MFL Coil Sensor for Testing Pipes in Extreme Temperature Conditions. Sensors. 21 (9). https://doi.org/https://doi.org/10.3390/s21093033Properties of GMR based sensor for Magnetic field measurement at increasing Temperature Conditions
Sathappan, N., Tokhi, M., Duan, F., Zhao, Z., Kaur, A. and Shirkoohi, M. (2020). Properties of GMR based sensor for Magnetic field measurement at increasing Temperature Conditions. NDE 2020 India-Virtual Conference & Exhibition on Non-Destructive Evaluation. India 10 - 12 Dec 2020Parameter analysis of pulsed eddy current sensor using principal component analysis
Nafiah, F, Tokhi, MO, Shirkoohi, G, Duan, F, Zhao, Z, Asfis, G and Rudlin, J (2020). Parameter analysis of pulsed eddy current sensor using principal component analysis. IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2020.3036967A Sparse Autoencoder-Based Unsupervised Scheme for Pump Fault Detection and Isolation
Liang, X., Duan, F., Bennett, Ian and Mba, P.D. (2020). A Sparse Autoencoder-Based Unsupervised Scheme for Pump Fault Detection and Isolation. Applied Sciences. 10 (19), p. e6789. https://doi.org/10.3390/app10196789Pulsed Eddy Current: Feature Extraction Enabling In-situ Calibration and Improved Estimation for Ferromagnetic Application
Nafiah, F., Tokhi, MO, Majidnia, S, Rudlin, J, Zhao, Z and Duan, F (2020). Pulsed Eddy Current: Feature Extraction Enabling In-situ Calibration and Improved Estimation for Ferromagnetic Application. Journal of Nondestructive Evaluation. 39 (52). https://doi.org/10.1007/s10921-020-00699-w3D FEM of a pipeline with defect using MFL testing under extreme conditions
Sathappan, N., Tokhi, M., Zhang, F., Duan, F., Shirkoohi, M. and Shiva Majidnia (2019). 3D FEM of a pipeline with defect using MFL testing under extreme conditions. NSIRC Annual Conference 2019. Cambridge 02 - 03 Jul 2019Development of high temperature and underwater sensor for permanent magnet corrosion monitoring system
Sathappan, N, Tokhi, M, Zhao, Z, Duan, F, Shirkoohi, M and Kaur, A (2019). Development of high temperature and underwater sensor for permanent magnet corrosion monitoring system. Lloyd's Register Foundation International Conference 2019. 8 Northemburland Avenue,London 09 - 10 Oct 2019Identification of Fatigue Damage Evaluation using Entropy of Acoustic Emission Waveform
Santo, F., Sattar, T., Mba, D. and Edwards, G. (2019). Identification of Fatigue Damage Evaluation using Entropy of Acoustic Emission Waveform. SN Applied Sciences. 2 (138). https://doi.org/10.1007/s42452-019-1694-7An analysis of civil aviation industry safety needs for the introduction of liquid hydrogen propulsion technology
Benson, CM, Ingram, JM, Battersby, PA, Mba, D, Sethi, V and Rolt, AM (2019). An analysis of civil aviation industry safety needs for the introduction of liquid hydrogen propulsion technology. TURBO EXPO Turbomachinery Technical Conference & Exposition. Phoenix AZ, USA 18 - 20 Jun 2019Induction Motor Stator Fault Detection by a Condition Monitoring Scheme Based on Parameter Estimation Algorithms
Duan, F and Zivanovic, R (2013). Induction Motor Stator Fault Detection by a Condition Monitoring Scheme Based on Parameter Estimation Algorithms. 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED). Valencia 27 - 30 Aug 2013 Taylor & Francis. https://doi.org/10.1080/15325008.2015.1089336Using frequency domain analysis techniques for diagnosis of planetary bearing defect in a CH-46E helicopter aft gearbox
Zhou, L., Duan, F., Mba, D., Wang, W. and Ojolo, S. (2018). Using frequency domain analysis techniques for diagnosis of planetary bearing defect in a CH-46E helicopter aft gearbox. Engineering Failure Analysis. 92, pp. 71-83. https://doi.org/10.1016/j.engfailanal.2018.04.051Canonical variable analysis and long short-term memory for fault diagnosis and performance estimation of a centrifugal compressor
Li, X, Duan, F, Loukopoulos, P, Bennett, I and Mba, D (2018). Canonical variable analysis and long short-term memory for fault diagnosis and performance estimation of a centrifugal compressor. Control Engineering Practice. 72, pp. 177-191. https://doi.org/10.1016/j.conengprac.2017.12.006Identification of fatigue damage evolution in 316L stainless steel using Acoustic Emission and Digital Image Correlation
Tanvir, F, Sattar, TP, Mba, D, Edwards, G, Eren, E and Lage, Y (2018). Identification of fatigue damage evolution in 316L stainless steel using Acoustic Emission and Digital Image Correlation. MATEC Web of Conference. Poitiers Futuroscope, France 27 May - 01 Jun 2018 London South Bank University. https://doi.org/10.1051/matecconf/201816522007Multidimensional prognostics for rotating machinery: A review
Li, X, Duan, F, Mba, D and Bennett, I (2017). Multidimensional prognostics for rotating machinery: A review. Advances in Mechanical Engineering. 9 (2). https://doi.org/10.1177/1687814016685004Reciprocating compressor prognostics
Loukopoulos, P, Sampath, S, Plidis, P, Zolkiewski, G, Bennett, I, Duan, F, Sattar, TP and Mba, D (2017). Reciprocating compressor prognostics. CMSM 2017 7th International Congress Design and Modelling of Mechanical Systems. Hammamet, Tunisia 27 - 29 Mar 2017A comparative study of helicopter planetary bearing diagnosis with vibration and acoustic emission data
Zhou, L, Duan, F, Mba, D and Faris, E (2017). A comparative study of helicopter planetary bearing diagnosis with vibration and acoustic emission data. 2017 IEEE International Conference on Prognostics and Health Management (ICPHM). Dallas, TX, USA 19 - 21 Jun 2017 Institute of Electrical and Electronics Engineers (IEEE). pp. 246-251 https://doi.org/10.1109/ICPHM.2017.7998336Using independent component analysis scheme for helicopter main gearbox bearing defect identification
Duan, F, Corsar, M, Zhou, L and Mba, D (2017). Using independent component analysis scheme for helicopter main gearbox bearing defect identification. 2017 IEEE International Conference on Prognostics and Health Management (ICPHM). Texas, USA 19 - 21 Jun 2017 Institute of Electrical and Electronics Engineers (IEEE). pp. 252-259 https://doi.org/10.1109/ICPHM.2017.7998337A hybrid prognostic methodology for tidal turbine gearboxes
Elasha, F, Mba, D, Togneri, M, Masters, I and Teixeira, JA (2017). A hybrid prognostic methodology for tidal turbine gearboxes. Renewable Energy. 114, pp. 1051-1061. https://doi.org/10.1016/j.renene.2017.07.093Combining Canonical Variate Analysis, Probability Approach and Support Vector Regression for Failure Time Prediction
Xiaochuan, L, Duan, F, Bennett, I and Mba, D (2017). Combining Canonical Variate Analysis, Probability Approach and Support Vector Regression for Failure Time Prediction. 2017 International Conference on Sensing, Diagnostics, Prognostics and Control. Shangai, China 16 - 18 Aug 2017Canonical Variable Analysis for Fault Detection, System Identification and Performance Estimation
Duan, F, Xiaochuan, L, Tariq, S, Ian, B and David, M (2017). Canonical Variable Analysis for Fault Detection, System Identification and Performance Estimation. Lecture Notes in Mechanical Engineering. 3, pp. 247-257. https://doi.org/10.1007/978-3-319-66697-6_25Reciprocating compressor prognostics of an instantaneous failure mode utilising temperature only measurements
Loukopoulos, P, Zolkiewski, G, Bennet, I, Sampath, S, Pilidis, P, Duan, F, Sattar, TP and Mba, D (2017). Reciprocating compressor prognostics of an instantaneous failure mode utilising temperature only measurements. Applied Acoustics. 147, pp. 77-86. https://doi.org/10.1016/j.apacoust.2017.12.003A study on helicopter main gearbox planetary bearing fault diagnosis
Zhou, L, Duan, F, Corsar, M, Elasha, F and Mba, D (2017). A study on helicopter main gearbox planetary bearing fault diagnosis. Applied Acoustics. https://doi.org/10.1016/j.apacoust.2017.12.004Feasibility study on using thioether as an emergency backup lubrication system on a large helicopter main gearbox
Duan, F, Tee, S, Corsar, M, Healey, A, Kleine-Beek, W and Mba, D (2016). Feasibility study on using thioether as an emergency backup lubrication system on a large helicopter main gearbox. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. 231 (14). https://doi.org/10.1177/0954406216640573Induction Motor Parameter Estimation Using Sparse Grid Optimization Algorithm
Duan, F, Zivanovic, R, Al-Sarawi, S and Mba, D (2016). Induction Motor Parameter Estimation Using Sparse Grid Optimization Algorithm. IEEE Transactions on Industrial Informatics. PP (99). https://doi.org/10.1109/TII.2016.2573743Induction Motor Stator Fault Detection by a Condition Monitoring Scheme Based on Parameter Estimation Algorithms
Duan, F and Živanović, R (2016). Induction Motor Stator Fault Detection by a Condition Monitoring Scheme Based on Parameter Estimation Algorithms. Electric Power Components and Systems. 44 (10). https://doi.org/10.1080/15325008.2015.1089336Canonical Variate Analysis for Performance Degradation under Faulty Conditions
Ruiz-Carcel, C, Lao, L, Cao, Y and Mba, D (2016). Canonical Variate Analysis for Performance Degradation under Faulty Conditions. Control Engineering Practice. 54, pp. 70-80. https://doi.org/10.1016/j.conengprac.2016.05.018A comparative study of adaptive filters in detecting a naturally degraded bearing within a gearbox
Elasha, F, Mba, D and Ruiz-Carcel, C (2016). A comparative study of adaptive filters in detecting a naturally degraded bearing within a gearbox. Case Studies in Mechanical Systems and Signal Processing. 3, pp. 1-8. https://doi.org/10.1016/j.csmssp.2015.11.001Helicopter Main Gearbox Bearing Defect Identification using Vibration and Acoustic Emission Techniques
Duan, F, Elasha, F, Greaves, M and Mba, D (2016). Helicopter Main Gearbox Bearing Defect Identification using Vibration and Acoustic Emission Techniques. P2016 IEEE International Conference on Prognostics and Health Management (ICPHM). Carleton University Ottawa, ON, Canada 20 - 22 Jun 2016 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICPHM.2016.7542856Helicopter Main Gearbox Bearing Defect Identification with Acoustic Emission Techniques
Duan, F, Elasha, F, Mba, D and Bennett, I (2016). Helicopter Main Gearbox Bearing Defect Identification with Acoustic Emission Techniques. IEEE International Conference on Prognostics and Health Management. Ottawa, Canada 20 - 22 Jun 2016 Institute of Electrical and Electronics Engineers (IEEE).Rotating machine prognostics using system-level models
Li, X, Duan, F, Mba, D and Bennett, I (2016). Rotating machine prognostics using system-level models. 2016 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2016) 2016 World Congress on Engineering Asset Management (WCEAM 2016). Jiuzhaigou, Sichuan, China 25 - 28 Jul 2016Low Speed Bearing Condition Monitoring – A Case Study
Duan, F, Nze, I and Mba, D (2016). Low Speed Bearing Condition Monitoring – A Case Study. Proceedings of 2016 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2016) and 2016 World Congress on Engineering Asset Management (WCEAM2016). Jiuzhaigou, Sichuan, China 25 - 28 Jul 2016A comparative study of the effectiveness of vibration and acoustic emission in diagnosing a defective bearing in a planetary gearbox
Elasha, F, Greaves, M, Mba, D and Duan, F (2016). A comparative study of the effectiveness of vibration and acoustic emission in diagnosing a defective bearing in a planetary gearbox. Applied Acoustics. 115, pp. 181-195. https://doi.org/10.1016/j.apacoust.2016.07.026Fire suppression systems in aircraft: Their past, present & future
Benson, CM, Fernandez-Cerezo, G, Holborn, PG and Mba, D (2016). Fire suppression systems in aircraft: Their past, present & future. Fire Investigation. 1 (3), pp. 34-41.Helicopter gearbox bearing fault detection using separation techniques and envelope analysis
Zhou, L, Duan, F, Mba, D, Corsar, M, Greaves, M, Sampath, S and Elasha, F (2016). Helicopter gearbox bearing fault detection using separation techniques and envelope analysis. Prognostics and System Health Management Conference (PHM-Chengdu), 2016. Chengdu, China 19 - 21 Oct 2016 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/PHM.2016.7819888Using empirical mode decomposition scheme for helicopter main gearbox bearing defect identification
Duan, F, Corsar, M and Mba, D (2016). Using empirical mode decomposition scheme for helicopter main gearbox bearing defect identification. Prognostics and System Health Management Conference (PHM-Chengdu), 2016. Chengdu, China 19 - 21 Oct 2016 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/PHM.2016.7819829Bearing signal separation of commercial helicopter main gearbox
Elasha, F, Greaves, M and Mba, D (2016). Bearing signal separation of commercial helicopter main gearbox. Procedia CIRP. 59, pp. 111-115. https://doi.org/10.1016/j.procir.2016.09.030Wireless Acoustic Emission Transmission System Designed for Fault Detection of Rotating Machine
Zhou, L, Duan, F and Mba, D (2016). Wireless Acoustic Emission Transmission System Designed for Fault Detection of Rotating Machine. Lecture Notes in Networks and Systems. 4, pp. 201-207. https://doi.org/10.1007/978-3-319-48725-0_19