Induction Motor Stator Fault Detection by a Condition Monitoring Scheme Based on Parameter Estimation Algorithms

Conference item


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/10.1080/15325008.2015.1089336
AuthorsDuan, F and Zivanovic, R
Abstract

Parameter estimation is a cost-effective method for fault detection of induction motors. This method is based on detecting change of the characteristic parameters at presence of fault. However, the challenge of parameter estimation is nonlinearity of a machine model which results in multiple local minima involved during the computation process. This paper investigates the suitability of local and global search methods to be used in the estimation of characteristic parameters that are indicating stator short circuit faults. Results of practical case studies are presented where two search methods (local and global) are evaluated and compared. A further study in noisy environment proves the feasibility of diagnosing the fault based on stator currents with low signal to noise ratio.

KeywordsInduction Motor; Stator Fault Detection; Condition Monitoring; Parameter Estimation Algorithms; 0906 Electrical And Electronic Engineering; Energy
Year2013
JournalTaylor and Francis
PublisherTaylor & Francis
ISSN1532-5008
Digital Object Identifier (DOI)https://doi.org/10.1080/15325008.2015.1089336
Accepted author manuscript
License
Publication dates
Print27 Aug 2013
Publication process dates
Deposited27 Jun 2018
Accepted21 Aug 2013
Permalink -

https://openresearch.lsbu.ac.uk/item/878y5

Download files


Accepted author manuscript
UEMP-2014-0542-Final.pdf
License: CC BY 4.0

  • 139
    total views
  • 379
    total downloads
  • 1
    views this month
  • 1
    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.2023.117131
Electric 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.2023.398
Robust 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/phm58589.2023.00062
Reliability 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/s23042212
Insightful 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/su15021283
Impacts 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.2022.125335
Decoupling 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.2021.3100648
Development 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/s21093033
Properties 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 2020
Parameter 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.2020.3036967
A 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/app10196789
Pulsed 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-w
3D 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 2019
Development 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 2019
Using 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.2018.04.051
Canonical 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.2017.12.006
Multidimensional 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/10.1177/1687814016685004
Reciprocating 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 2017
A 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.2017.7998336
Using 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.2017.7998337
Combining 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 2017
Canonical 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_25
Reciprocating 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.2017.12.003
A 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.2017.12.004
Feasibility 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/10.1177/0954406216640573
Induction 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.2016.2573743
Induction 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/10.1080/15325008.2015.1089336
Helicopter 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.2016.7542856
Helicopter 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 2016
Low 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 2016
A 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.2016.07.026
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.2016.7819888
Dealing with missing data for prognostic purposes
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
Using 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.2016.7819829
Wireless 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