Faults and Diagnosis Methods of Permanent Magnet Synchronous Motors: A Review
Source abstract
Abstract
Permanent magnet synchronous motors (PMSM) have been used in a lot of industrial fields. In this paper, a review of faults and diagnosis methods of PMSM is presented. Firstly, the electrical, mechanical and magnetic faults of the permanent magnet synchronous motor are introduced. Next, common fault diagnosis methods, such as model-based fault diagnosis, different signal processing methods, and data-driven diagnostic algorithms are enumerated. The research summarized in this paper mainly includes fault performance, harmonic characteristics, different time-frequency analysis techniques, intelligent diagnosis algorithms proposed recently and so on.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Machine Fault Diagnosis Techniques · Fault Detection and Control Systems · Oil and Gas Production Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Institute of Electric Vehicle Driving System and Safety Technology, University of Electronic Science and Technology of China, Chengdu 611731, China
Unit 69031 of the People’s Liberation Army of China, Urumqi 830000, China
Funding
the Sichuan Science and Technology support Program
References (100+)
Show source-provided references
1. A Model-Based Strategy for Interturn Short-Circuit Fault Diagnosis in PMSM10.1109/TIE.2017.2688973 ↗
2. Line-Starting Three- and Single-Phase Interior Permanent Magnet Synchronous Motors—Direct Comparison to Induction Motors10.1109/TMAG.2008.2001537 ↗
3. Zheng, J., Wang, Z., Wang, D., Li, Y., and Li, M. (2017, January 26–28). Review of fault diagnosis of PMSM drive system in electric vehicles. Proceedings of the 36th Chinese Control Conference (CCC), Dalian, China.10.23919/ChiCC.2017.8028529 ↗
4. Optimal Design of the Synchronous Motor with the Permanent Magnets on the Rotor Surface
5. Mehrjou, M.R., Mariun, N., Karami, M., Misron, N., and Radzi, M.A.M. (2015, January 24–25). Statistical features analysis of transient current signal for broken bars fault detection in LS-PMSMs. Proceedings of the 2015 IEEE 3rd International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA), Kuala Lumpur, Malaysia.10.1109/ICSIMA.2015.7559034 ↗
6. Interturn Short-Circuit Faults in Permanent Magnet Synchronous Machines: An Extended Review and Comprehensive Analysis10.1109/JESTPE.2018.2811538 ↗
7. Wang, Z., Yang, J., Huiping, Y., and Zhou, W. (September, January 31). A review of Permanent Magnet Synchronous Motor fault diagnosis. Proceedings of the IEEE Conference and Expo Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), Beijing, China.
8. Condition Monitoring and Fault Diagnosis of Electrical Motors—A Review10.1109/TEC.2005.847955 ↗
9. Moosavi, S.S., Esmaili, Q., Djerdir, A., and Amirat, Y.A. (2017, January 11–14). Inter-Turn Fault Detection in Stator Winding of PMSM Using Wavelet Transform. Proceedings of the IEEE Vehicle Power and Propulsion Conference (VPPC), Belfort, France.10.1109/VPPC.2017.8330891 ↗
10. Cira, F., Arkan, M., Gumus, B., and Goktas, T. (2016, January 24–27). Analysis of stator inter-turn short-circuit fault signatures for inverter-fed permanent magnet synchronous motors. Proceedings of the IECON 42nd Annual Conference of the IEEE Industrial Electronics Society, Florence, Italy.10.1109/IECON.2016.7793717 ↗
11. Liang, Y. (March2014, January 26). Diagnosis of inter-turn short-circuit stator winding fault in PMSM based on stator current and noise. Proceedings of the IEEE International Conference on Industrial Technology (ICIT), Busan, South Korea.10.1109/ICIT.2014.6894927 ↗
12. Simple Online Fault Detecting Scheme for Short-Circuited Turn in a PMSM Through Current Harmonic Monitoring10.1109/TIE.2010.2060463 ↗
13. The Shape Design of Permanent Magnet for Permanent Magnet Synchronous Motor Considering Partial Demagnetization10.1109/TMAG.2006.879077 ↗
14. IPM synchronous machine drive response to a single-phase open circuit fault10.1109/TPEL.2002.802180 ↗
15. Detection and Discrimination of Open Phase Fault in Permanent Magnet Synchronous Motor Drive System
16. Zhongming, Y., and Bin, W. (2000, January 15–18). A Review on Induction Motor Online Fault Diagnosis. Proceedings of the IPEMC Third International Power Electronics and Motion Control Conference (IEEE Cat. No.00EX435), Beijing, China.
17. Rosero, J.A., Cusido, J., Garcia, A., Ortega, J.A., and Romeral, L. (2006, January 7–10). Broken Bearings and Eccentricity Fault Detection for a Permanent Magnet Synchronous Motor. Proceedings of the IECON 32nd Annual Conference on IEEE Industrial Electronics, Paris, France.10.1109/IECON.2006.347599 ↗
18. New statistical moments for the detection of defects in rolling element bearings10.1007/s00170-004-2109-4 ↗
19. An Amplitude Modulation Detector for Fault Diagnosis in Rolling Element Bearings10.1109/TIE.2004.834971 ↗
20. Karami, M., Mariun, N., Mehrjou, M.R., Ab Kadir, M.Z.A., Misron, N., and Mohd Radzi, M.A. (2014, January 1–3). Diagnosis of static eccentricity fault in line start permanent magnet synchronous motor. Proceedings of the 2014 IEEE International Conference on Power and Energy (PECon), Kuching, Malaysia.10.1109/PECON.2014.7062418 ↗
21. Advanced Eccentricity Fault Recognition in Permanent Magnet Synchronous Motors Using Stator Current Signature Analysis10.1109/TIE.2013.2263777 ↗
22. Static-, Dynamic-, and Mixed-Eccentricity Fault Diagnoses in Permanent-Magnet Synchronous Motors10.1109/TIE.2009.2029577 ↗
23. Abdelli, R., Bouzida, A., Touhami, O., and Ouadah, M. (2016, January 15–17). Static eccentricity fault modeling in permanent-magnet synchronous motors. Proceedings of the 8th International Conference on Modelling, Identification and Control (ICMIC-2016), University of MEDEA, Algiers, Algeria.10.1109/ICMIC.2016.7804138 ↗
24. Analysis for Fault Detection of Vector-Controlled Permanent Magnet Synchronous Motor with Permanent Magnet Defect10.1109/TMAG.2013.2243135 ↗
25. Gritli, Y., Rossi, C., Casadei, D., Zarri, L., and Filippetti, F. (2012, January 2–5). Demagnetizations diagnosis for Permanent Magnet Synchronous Motors based on advanced Wavelet Analysis. Proceedings of the 2012 International Conference on Electrical Machines, Marseille, France.10.1109/ICElMach.2012.6350219 ↗
26. Interdependence of Demagnetization, Loading, and Temperature Rise in a Permanent-Magnet Synchronous Motor10.1109/TMAG.2009.2033592 ↗
27. Torque-Ripple-Based Interior Permanent-Magnet Synchronous Machine Rotor Demagnetization Fault Detection and Current Regulation10.1109/TIA.2016.2634518 ↗
28. Haylock, J.A., Hoefer, U.M., and Jack, A.G. (2006, January 4–6). Predicting and preventing demagnetisation in permanent magnet motor drives. Proceedings of the 3rd IET International Conference on Power Electronics, Machines and Drives, Dublin, Ireland.10.1049/cp:20060154 ↗
29. Multi-Sensor Data Fusion Using a Relevance Vector Machine Based on an Ant Colony for Gearbox Fault Detection10.3390/s150921857 ↗
30. Multi-Sensor Fusion-Based Permanent Magnet Demagnetization Detection in Permanent Magnet Synchronous Machines
31. Chowdhury, M.H. (2016, January 1–4). Modeling of faults in permanent magnet synchronous machines. Proceedings of the IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific), Busan, South Korea.10.1109/ITEC-AP.2016.7512956 ↗
32. A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis with Model-Based and Signal-Based Approaches10.1109/TIE.2015.2417501 ↗
33. A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part II: Fault Diagnosis with Knowledge-Based and Hybrid/Active Approaches10.1109/TIE.2015.2417501 ↗
34. Usman, A., Joshi, B.M., and Rajpurohit, B.S. (September, January 29). Review of fault modeling methods for permanent magnet synchronous motors and their comparison. Proceedings of the IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), Tinos, Greece.
35. Obeid, N.H., Boileau, T., and Nahid-Mobarakeh, B. (2014, January 5–9). Modeling and Diagnostic of Incipient Inter-turn Faults For a Three Phase Permanent Magnet Synchronous Motor. Proceedings of the IEEE Industry Application Society Annual Meeting, Vancouver, BC, Canada.10.1109/IAS.2014.6978414 ↗
36. Detecting of Multi Phase Inter Turn Short Circuit in the Five Permanent Magnet Synchronous Motor
37. Modeling of Surface-Mounted Permanent Magnet Synchronous Motors with Stator Winding Interturn Faults10.1109/TIE.2010.2062480 ↗
38. Vaseghi, B., Nahid-Mobarakeh, B., Takorabet, N., and Meibody-Tabar, F. (2007, January 9–12). Modeling of Non-Salient PM Synchronous Machines under Stator Winding Inter-turn Fault Condition: Dynamic Model—FEM Model. Proceedings of the IEEE Vehicle Power and Propulsion Conference, Arlington, TX, USA.
39. Peter, H., and Hahn, I. (2012, January 20–22). Model based rotor angle fault detection in PM synchronous machines. Proceedings of the International Symposium on Power Electronics Power Electronics, Electrical Drives, Automation and Motion, Sorrento, Italy.10.1109/SPEEDAM.2012.6264376 ↗
40. Inductance-based Inter-Turn Fault Detection in Permanent Magnet Synchronous Machine Using Magnetic Equivalent Circuit Model10.1080/15325008.2017.1293196 ↗
41. Recent Advances in Modeling and Online Detection of Stator Interturn Faults in Electrical Motors10.1109/TIE.2010.2089937 ↗
42. Nedjar, B., Vido, L., Hlioui, S., Amara, Y., and Gabsi, M. (2012, January 28–31). Hybrid coupling: Magnetic equivalent circuit coupled to finite element analysis for PMSM electromagnetic modeling. Proceedings of the IEEE International Symposium on Industrial Electronics, Hangzhou, China.10.1109/ISIE.2012.6237201 ↗
43. Fitouri, M., BenSalem, Y., and Abdelkrim, M.N. (2016, January 31–24). Analysis and co-simulation of permanent magnet sychronous motor with short-circuit fault by finite element method. Proceedings of the 13th International Multi-Conference on Systems, Signals & Devices (SSD), Leipzig, Germany.10.1109/SSD.2016.7473721 ↗
44. Li, Y., and Liang, Y. (2015, January 22–24). A comparative study on inter-tern short circuit fault of PMSM using finite element analysis and experiment. Proceedings of the 2015 International Conference on Advanced Mechatronic Systems, Beijing, China.10.1109/ICAMechS.2015.7287076 ↗
45. Khan, M.S., Okonkwo, U.V., Usman, A., and Rajpurohit, B.S. (2018, January 5–9). Finite Element Modeling of Demagnetization Fault in Permanent Magnet Direct Current Motors. Proceedings of the IEEE Power & Energy Society General Meeting (PESGM), Portland, OR, USA.10.1109/PESGM.2018.8586622 ↗
46. Fault Analysis and Parameter Identification of Permanent-Magnet Motors by the Finite-Element Method10.1109/TMAG.2009.2022156 ↗
47. Nonlinear varying-network magnetic circuit analysis for doubly salient permanent-magnet motors10.1109/20.822544 ↗
48. On the Accuracy of Fault Detection and Separation in Permanent Magnet Synchronous Machines Using MCSA/MVSA and LDA10.1109/TEC.2016.2558183 ↗
49. Jokic, S., Cincar, N., and Novakovic, B. (2018, January 21–23). The analysis of vibration measurement and current signature in motor drive faults detection. Proceedings of the 17th International Symposium INFOTEH-JAHORINA (INFOTEH), East Sarajevo, Bosnia-Herzegovina.10.1109/INFOTEH.2018.8345531 ↗
50. Alameh, K., Cite, N., Hoblos, G., and Barakat, G. (May, January 29). Feature extraction for vibration-based fault detection in Permanent Magnet Synchronous Motors. Proceedings of the Third International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE), Beirut, Lebanon.
51. Motor Current Signal Analysis Based on a Matched Subspace Detector10.1109/TIM.2017.2749858 ↗
52. Bearing Fault Model for Induction Motor with Externally Induced Vibration10.1109/TIE.2012.2213566 ↗
53. Electromagnetic and mechanical characterizations of noise and vibration in permanent magnet synchronous machines10.1109/TMAG.2006.871637 ↗
54. Rosero, J.A., Romeral, L., Cusido, J., Garcia, A., and Ortega, J.A. (2007, January 17–21). On the short-circuiting Fault Detection in a PMSM by means of Stator Current Transformations. Proceedings of the IEEE Power Electronics Specialists Conference, Orlando, FL, USA.10.1109/PESC.2007.4342300 ↗
55. Faiz, J., and Exiri, S.A.H. (2015, January 2–4). Short-circuit fault diagnosis in permanent magnet synchronous motors—An overview. Proceedings of the Intl Aegean Conference on Electrical Machines & Power Electronics (ACEMP), 2015 Intl Conference on Optimization of Electrical & Electronic Equipment (OPTIM) & 2015 Intl Symposium on Advanced Electromechanical Motion Systems (ELECTROMOTION), Side, Turkey.10.1109/OPTIM.2015.7427038 ↗
56. Urresty, J., Riba, J., Romeral, L., Rosero, J., and Serna, J. (September, January 31). Stator short circuits detection in PMSM by means of Hilbert-Huang transform and energy calculation. Proceedings of the IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, Cargese, France.
57. Refaat, S.S., Abu-Rub, H., Saad, M.S., Aboul-Zahab, E.M., and Iqbal, A. (2013, January 13–17). Discrimination of stator winding turn fault and unbalanced supply voltage in permanent magnet synchronous motor using ANN. Proceedings of the 4th International Conference on Power Engineering, Energy and Electrical Drives, Istanbul, Turkey.10.1109/PowerEng.2013.6635722 ↗
58. Detection of Interturn Short-Circuit Fault for PMSM With Simple Fault Indicator10.1109/TEC.2016.2583780 ↗
59. Rosero, J., Romeral, L., Rosero, E., and Urresty, J. (2009, January 15–19). Fault Detection in dynamic conditions by means of Discrete Wavelet Decomposition for PMSM running under Bearing Damage. Proceedings of the Twenty-Fourth Annual IEEE Applied Power Electronics Conference and Exposition, Washington, DC, USA.10.1109/APEC.2009.4802777 ↗
60. Pattern identification for eccentricity fault diagnosis in permanent magnet synchronous motors using stator current monitoring10.1049/iet-epa.2009.0149 ↗
61. Rosero, J., Romeral, L., Cusido, J., and Ortega, J.A. (2007, January 5–8). Fault detection by means of wavelet transform in a PMSMW under demagnetization. Proceedings of the IECON 33rd Annual Conference of the IEEE Industrial Electronics Society, Taipei, Taiwan.10.1109/IECON.2007.4460323 ↗
62. Fault Detection by Means of Hilbert–Huang Transform of the Stator Current in a PMSM with Demagnetization10.1109/TEC.2009.2037922 ↗
63. Goktas, T., Zafarani, M., and Akin, B. (2015, January 10–13). Separation of broken magnet and static eccentricity failures in PMSM. Proceedings of the IEEE International Electric Machines & Drives Conference (IEMDC), Coeur d’Alene, ID, USA.10.1109/IEMDC.2015.7409254 ↗
64. Liang, H., Chen, Y., Liang, S., and Wang, C. (2018). Fault Detection of Stator Inter-Turn Short-Circuit in PMSM on Stator Current and Vibration Signal. Appl. Sci., 8.10.3390/app8091677 ↗
65. Using multi-sensor data fusion for vibration fault diagnosis of rolling element bearings by accelerometer and load cell10.1016/j.inffus.2013.10.002 ↗
66. Yong, C., Xu, Z., and Liu, X. (2017, January 20–22). Sensorless control at low speed based on HF signal injection and a new signal processing method. Proceedings of the Chinese Automation Congress (CAC), Jinan, China.10.1109/CAC.2017.8243297 ↗
67. Time–Frequency Analysis for Efficient Fault Diagnosis and Failure Prognosis for Interior Permanent-Magnet AC Motors10.1109/TIE.2008.2007529 ↗
68. Rosero, J., Cusido, J., Espinosa, A.G., Ortega, J.A., and Romeral, L. (2007, January 4–7). Broken Bearings Fault Detection for a Permanent Magnet Synchronous Motor under non-constant working conditions by means of a Joint Time Frequency Analysis. Proceedings of the IEEE International Symposium on Industrial Electronics, Vigo, Spain.10.1109/ISIE.2007.4375165 ↗
69. Reconfigurable Monitoring System for Time-Frequency Analysis on Industrial Equipment Through STFT and DWT10.1109/TII.2012.2221131 ↗
70. Rosero, J., Romeral, J.L., Cusido, J., Ortega, J.A., and Garcia, A. (2008, January 24–28). Fault detection of eccentricity and bearing damage in a PMSM by means of wavelet transforms decomposition of the stator current. Proceedings of the Twenty-Third Annual IEEE Applied Power Electronics Conference and Exposition, Austin, TX, USA.10.1109/APEC.2008.4522708 ↗
71. Early Intermittent Interturn Fault Detection and Localization for a Permanent Magnet Synchronous Motor of Electrical Vehicles Using Wavelet Transform10.1109/TTE.2017.2743419 ↗
72. Khan, M.A.S.K., Radwan, T.S., and Rahman, M.A. (2006, January 8–12). Diagnosis and Protection of IPM Motors Using Wavelet Packet Transform. Proceedings of the Conference Record of the 2006 IEEE Industry Applications Conference Forty-First IAS Annual Meeting, Tampa, FL, USA.10.1109/IAS.2006.256805 ↗
73. Ping, Z.A., Juan, Y., and Ling, W. (2013, January 16–17). Fault Detection of Stator Winding Interturn Short Circuit in PMSM Based on Wavelet Packet Analysis. Proceedings of the Fifth International Conference on Measuring Technology and Mechatronics Automation, Hong Kong, China.10.1109/ICMTMA.2013.141 ↗
74. Hilbert–Huang Transform-Based Vibration Signal Analysis for Machine Health Monitoring10.1109/TIM.2006.887042 ↗
75. Faiz, J., Ghorbanian, V., and Ebrahimi, B.M. (2012, January 16–19). A new criterion for rotor broken bar fault diagnosis in line-start and inverter-fed induction motors using Hilbert-Huang transform. Proceedings of the 2012 IEEE International Conference on Power Electronics, Drives and Energy Systems, Bengaluru, India.10.1109/PEDES.2012.6484397 ↗
76. Hui, L., and Yuping, Z. (2006, January 21–23). Bearing Faults Diagnosis Based on EMD and Wigner-Ville Distribution. Proceedings of the 6th World Congress on Intelligent Control and Automation, Dalian, China.10.1109/WCICA.2006.1714113 ↗
77. Liu, J., Zhou, K., and Hu, Y. (2018, January 23–26). EMD-WVD Method Based High—Frequency Current Analysis of Low Voltage Arc. Proceedings of the Condition Monitoring and Diagnosis (CMD), Perth, WA, Australia.10.1109/CMD.2018.8535969 ↗
78. Rosero, J., Romeral, J.A.O., Romeral, L., and Rosero, E. (2008, January 24–28). Short circuit fault detection in PMSM by means of empirical mode decomposition (EMD) and wigner ville distribution (WVD). Proceedings of the Twenty-Third Annual IEEE Applied Power Electronics Conference and Exposition, Austin, TX, USA.10.1109/APEC.2008.4522706 ↗
79. Short-Circuit Detection by Means of Empirical Mode Decomposition and Wigner–Ville Distribution for PMSM Running Under Dynamic Condition10.1109/TIE.2008.2011580 ↗
80. Quiroga, J., Liu, L., and Cartes, D.A. (2008, January 11–13). Fuzzy logic-based fault detection of PMSM stator winding short under load fluctuation using negative sequence analysis. Proceedings of the American Control Conference, Seattle, WA, USA.10.1109/EPEPEMC.2008.4635364 ↗
81. Guefack, F.L.T., Kiselev, A., and Kuznietsov, A. (2018, January 20–22). Improved Detection of Inter-turn Short Circuit Faults in PMSM Drives using Principal Component Analysis. Proceedings of the International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), Amalfi, Italy.10.1109/SPEEDAM.2018.8445403 ↗
82. A Review on Basic Data-Driven Approaches for Industrial Process Monitoring10.1109/TIE.2014.2301773 ↗
83. Recent Developments of Induction Motor Drives Fault Diagnosis Using AI Techniques10.1109/41.873207 ↗
84. Moosavi, S.S., Djerdir, A., Ait-Amirat, Y., and Kkuburi, D.A. (2012, January 2–5). Artificial neural networks-based fault detection in 3-Phase PMSM traction motor. Proceedings of the International Conference on Electrical Machines, Marseille, France.10.1109/ICElMach.2012.6350089 ↗
85. Yang, S., Li, W., and Wang, C. (2008, January 21–24). The intelligent fault diagnosis of wind turbine gearbox based on artificial neural network. Proceedings of the International Conference on Condition Monitoring and Diagnosis, Beijing, China.
86. Quiroga, J., Cartes, D.A., Edrington, C.S., and Liu, L. (2008, January 1–3). Neural network-based fault detection of PMSM stator winding short under load fluctuation. Proceedings of the 13th International Power Electronics and Motion Control Conference, Poznan, Poland.10.1109/EPEPEMC.2008.4635364 ↗
87. Static Eccentricity Fault Diagnosis in Permanent Magnet Synchronous Motor Using Time Stepping Finite Element Method10.1109/TMAG.2008.2001534 ↗
88. Cira, F., Arkan, M., and Gumus, B. (2015, January 1–4). A new approach to detect stator fault in permanent magnet synchronous motors. Proceedings of the IEEE 10th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), Guarda, Portugal.10.1109/DEMPED.2015.7303708 ↗
89. Zhong, J., Yang, Z., and Wong, S.F. (2010, January 7–10). Machine condition monitoring and fault diagnosis based on support vector machine. Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, Macao, China.10.1109/IEEM.2010.5674594 ↗
90. Feature Extraction for Short-Circuit Fault Detection in Permanent-Magnet Synchronous Motors Using Stator-Current Monitoring10.1109/TPEL.2010.2050496 ↗
91. A novel fault diagnosis model for gearbox based on wavelet support vector machine with immune genetic algorithm10.1016/j.measurement.2012.06.009 ↗
92. Dou, R., Song, F., Liu, H., and Men, X. (2018, January 26–28). Demagnetization Quantification of PMSM Based on Support Vector Regression. Proceedings of the Prognostics and System Health Management Conference (PHM-Chongqing), Chongqing, China.10.1109/PHM-Chongqing.2018.00111 ↗
93. zSlices-Based General Type-2 Fuzzy Fusion of Support Vector Machines with Application to Bearing Fault Detection10.1109/TIE.2017.2688963 ↗
94. A Survey of Sparse Representation: Algorithms and Applications10.1109/ACCESS.2015.2430359 ↗
95. K-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation10.1109/TSP.2006.881199 ↗
96. Fault Diagnosis for a Wind Turbine Generator Bearing via Sparse Representation and Shift-Invariant K-SVD10.1109/TII.2017.2662215 ↗
97. Robust Face Recognition via Sparse Representation10.1109/TPAMI.2008.79 ↗
98. Matching Pursuits with Time-Frequency Dictionaries10.1109/78.258082 ↗
99. Hou, J., Wang, Y., Gao, T., and Yang, Y. (2016, January 25–28). Fault feature extraction of power electronic circuits based on sparse decomposition. Proceedings of the International Conference on Condition Monitoring and Diagnosis (CMD), Xi’an, China.
100. Pati, Y.C., Rezaiifar, R., and Krishnaprasad, P.S. (1993, January 1–3). Orthogonal Matching Pursuit: Recursive Function Approximat ion with Applications to Wavelet Decomposition. Proceedings of the 27th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA.