Survey of wavelet fault diagnosis and tolerant of induction machines with case study

International Review of Electrical Engineering

Volumn 7, Issue 3, 2012, Pages 4437-4456

  Gaeid, Khalaf Salloum ^a   Ping, Hew Wooi ^a   Masood, Mustafa Khalid ^a   Szabo, Lorand ^b  

^a UNIVERSITY OF MALAYA   (Malaysia)

^b TECHNICAL UNIVERSITY OF CLUJ NAPOCA   (Romania)

Author keywords

Fault diagnosis; Fault tolerant control; Induction motor; Inverter fault; Stator faults; Wavelet

Indexed keywords

EID: 84866049245     PISSN: 18276660     EISSN: 25332244     Source Type: Journal    
DOI: None     Document Type: Review

References (140)

1. K. S. Gaeid, Hew Wooi Ping, Haider A. F. Mohamed, Diagnosis and Fault Tolerant Control of the Induction Motors Techniques: A review, Australian Journal of Basic and Applied Sciences, vol. 4, n. 2, 2010 pp. 227-246.
2. H. Mokhlis, H. Y. Li, Hasmaini Mohamad, A. H. A. Bakar, A Comprehensive Fault Location Estimation Using Voltage Sag Profile for Non-Homogenous Distribution Networks, International Review of Electrical Engineering (IREE) - part B, vol. 5. n. 5, 2010, pp. 2310-2316.
3. K. S. Andrew Jardine, Daming Lin, Dragan Banjevic, A review on machinery diagnostics and prognostics implementing condition-based maintenance, Mechanical Systems and Signal Processing, vol. 20, 2006 pp. 1483-1510.
4. E. Al-Ahmar, M. E. H. Benbouzid, S. Turri, Wind Energy Conversion Systems Fault Diagnosis Using Wavelet Analysis, International Review of Electrical Engineering (IREE), vol. 3. n. 4, 2008, pp. 646-652.
5. N. Onat, I. Kyak, G. Gokmen, Experimental Wavelet Packet Transient-State Analysis of Electrical Machines Directly Fed by Photovoltaic Cells, International Review of Electrical Engineering (IREE) - part A, vol. 5. n. 5, 2010, pp. 2081-2087.
6. S. Taskin, Serhat Seker, Burak Irgen, Tahir Cetin Akinci, Reverse Power Data Analysis and Feature Extraction Based Upon Continuous Wavelet Transform for Electric Power Plants, International Review of Electrical Engineering (IREE) - part B, vol. 5. n. 5, 2010, pp. 2419-2426.
7. st Power Electronic & Drive Systems & Technologies Conference (PEDSTC), 2010, pp. 345-350.
8. L. Szabobo, JenoBarna Dobai, Karoly Agoston Biro, Discrete Wavelet Transform Based Rotor Faults Detection Method for Induction Machines, Intelligent Systems at the Service of Mankind, vol. 2, 2005, pp. 63-74.
9. R. Isermann, Balle P, Trends in the application of model based fault detection and diagnosis of technical processes, Control Eng. Pract, vol. 5, n. 5, 1997, pp. 709-719.
10. M. Riera Guaspa, J. Antonino Daviua, J. Rusekb, J. Roger Folch, Diagnosis of rotor asymmetries in induction motors based on the transient extraction of fault components using filtering techniques, Electric Power Systems Research, 2009, pp. 1181-1191.
11. I. Tsoumas, Mitronikas, E., Safacas, A, Induction motor mixed fault diagnosis based on wavelet analysis of the current space vector, Electrical Machines and Systems, ICEMS, Proceedings of the Eighth International Conference on, vol. 3, 2005, pp. 2186-219.
12. J. Cusido, Romeral, L., Ortega, J. A., Rosero, J. A., Garcia Espinosa, A., Fault Detection in Induction Machines Using Power Spectral Density in Wavelet Decomposition, Industrial Electronics, IEEE Transactions on, vol. 55, n. 2, 2008, pp. 633-643.
13. J. Cusido, Rosero, J. A., Cusido, M.; Garcia, A.; Ortega, J. A., Romeral, L., On-Line System for Fault Detection in Induction Machines Based on Wavelet Convolution, IEEE Conf. on Instrumentation and Measurement Technology, IMTC, 2007, pp. 1-5.
14. H. Hamidi, Nasiri, A. R., Nasiri F, Detection and isolation of mixed eccentricity in three phase induction motor via wavelet packet decomposition, Control Conference, 5th Asian, vol. 2, 2004, pp. 1371-1376.
15. A. Daviu, J. A. Riera Guasp, M. Folch, Jr Palomares, M. P. M, Validation of a new method for the diagnosis of rotor bar failures via wavelet transform in industrial induction machines, IEEE Transactions on Industry Applications, vol. 42, n. 4, 2006, pp. 990-996.
16. J. A. Antonino, Riera, M., Roger-Folch, J., Molina, M. P, Validation of a new method for the diagnosis of rotor bar failures via wavelet transformation in industrial induction machines, 5th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED, DEMPED, 2005, pp. 1-6.
17. J. Antonino Daviu, P. Jover Rodriguez, M. Riera Guasp, A. Arkkio, J. Roger Folch R. B. Perez, Transient detection of eccentricity related components in induction motors through the Hilbert-Huang Transform, Energy Conversion and Management 50, 2009, pp. 1810-1820.
18. Ye, Z., Wu, B. Sadeghian, A. R, Signature analysis of induction motor mechanical faults by wavelet packet decomposition, Sixteenth Annual IEEE Conference on Applied Power Electronics and Exposition, APEC, vol. 2, 2001, pp. 1022-1029.
19. H. Akbari, Jafar Milimonfared, Homayoun Meshgin Kelk, Axial Static Eccentricity Detection in Induction Machines by Wavelet Technique, International Review of Electrical Engineering (IREE) - part A, vol. 5. n. 3, 2010, pp. 936-943.
20. S. Morteza Raziee, Homayoun Meshgin Kelk, Hamid-Reza Reza-Alikhani, Ali Omati, Air-Gap Eccentricity Effects on Harmonic Contents of Field Current in Synchronous Generators, International Review of Electrical Engineering (IREE) - part A, vol. 5. n. 1, 2010 pp. 83-89.
21. M. Hajiaghajan, Hamid A. Toliyat, and Issa M. S. Panahi, Advanced Fault Diagnosis of a DC Motor. IEEE Transactions on Energy Conversion, vol. 19, n. 1, 2004, pp. 60-65
22. Y. Huang, Chengliang Liu, Xuan F. Zha, Yanming Li, A lean model for performance assessment of machinery using second generation wavelet packet transform and Fisher criterion, Expert Systems with Applications, 2010, pp. 3815-3822.
23. B. Lu; Paghda, M, Induction motor rotor fault diagnosis using wavelet analysis of one-cycle average power, Twenty-Third Annual IEEE conf. on Applied Power Electronics and Exposition, APEC, 2008, pp. 1113-1118.
24. J. Rafiee, M. A. Rafiee, P. W. Tse, Application of mother wavelet functions for automatic gear and bearing fault diagnosis, Expert Systems with Applications 37, 2010, pp. 4568-4579.
25. J. Zarei, Javad Poshtan, Bearing fault detection using wavelet packet transform of induction motor stator current, Tribology International 40, 2007, pp. 763-769.
26. J. Faiz, Mansour Ojaghi, Different indexes for eccentricity faults diagnosis in three-phase squirrel-cage induction motors: A review, Mechatronics, 19, pp. 2-13.
27. Q. Hua, Zhengjia He, Zhousuo Zhanga, Yanyang Zi, Fault diagnosis of rotating machinery based on improved wavelet package transform and SVMs ensemble, Mechanical Systems and Signal Processing, vol. 21, 2009, pp. 688-705, 2007.
28. S. Seker, Emine Ayaz, Feature extraction related to bearing damage in electric motors by wavelet analysis" Journal of the Franklin Institute, 340, pp. 125-134, 2003.
29. S. Seker; Gullulu, S.; Ayaz, E, Transfer Function approach based upon wavelet transform for bearing damage detection in electric motors, IEEE International Symposium on Industrial Electronics, ISIE, 2008, pp. 749-752.
30. G. K. Singha, Sa'ad Ahmed Saleh Al Kazzaz, Isolation and identification of dry bearing faults in induction machine using wavelet transform, Tribology International, vol. 42, 2009, pp. 849-861.
31. C. Kar, A. R. Mohanty, Monitoring gear vibrations through motor current signature analysis and wavelet transform Mechanical Systems and Signal Processing, vol. 20, 2006, pp. 158-187.
32. S. Abbasiona, A. Rafsanjania, A. Farshidianfarb, N. Irani, Rolling element bearings multi fault classification based on the wavelet de-noising and support vector machine, Mechanical Systems and Signal Processing, vol. 2, 2007, pp. 2933-2945.
33. J. Cusido, Rosero J. A., Romeral, L. Ortega, J. A., Garcia, A, Fault Detection in Induction Machines by Using Power Spectral Density on the Wavelet Decompositions, 37th IEEE Conference on Power Electronics Specialists PESC, 2006, pp. 1-6.
34. R. Zhou, Wen Bao, Ning Li, Xin Huang, Daren Yu, Mechanical equipment fault diagnosis based on redundant second generation wavelet packet transform, Digital Signal Processing 20, 2010, pp. 276-288.
35. K. Teotrakool; Devaney, M. J.; Eren, L, Adjustable Speed Drive Bearing Fault Detection via Wavelet Packet Decomposition, IEEE Transactions on Instrumentation and Measurement, vol. 58, n. 8, 2009, pp. 2747-2754.
36. L. Eren, Enhanced Feature Detection in Bearing Health Diagnosis Using Wavelet Packet Transform with Spectral Post Processing, International Review of Electrical Engineering (IREE), vol. 4. n. 1, 2009, pp. 260-268.
37. G.B.W.J. Kliman, A new approach to on-line turn fault detection in AC motors, International Conf. Rec. IEEE IAS, 1996, pp. 687-693.
38. T. Liu, Jin Huang, A novel method for induction motors stator interturn short circuit fault diagnosis by wavelet packet analysis, Proceedings of the Eighth International Conference on Electrical Machines and Systems, ICEMS. vol. 3, 2005, pp. 2254-2258.
39. O. A. Mohammed, Abed N. Y, Ganu S, Modelling and Characterization of Induction Motor Internal Faults Using Finite Element and Discrete Wavelet Transforms, IEEE Transactions on Magnetics, vol. 42, n. 10, 2006, pp. 3434-3436.
40. O. A. Mohammed, Abed N. Y, Garni S, Modeling and characterization of induction motor internal faults using finite element and discrete wavelet transforms, IEEE Symposium on Electric Ship Technologies, ESTS, 2007, pp. 250-253.
41. F. Ponci, Monti, A. Cristaldi L., Lazzaroni M, Diagnostic of a Faulty Induction Motor Drive via Wavelet Decomposition, Instrumentation and Measurement, IEEE Transactions on, vol. 56, n. 6, 2007, pp. 2606-2615.
42. J. Cusido, Rosero, J. A. Ortega, J. A., Garcia, A., Romeral L, Decomposition on dq0 components, IEEE International Symposium on Industrial Electronics, vol. 3, 2006, pp. 2406-2411.
43. G. Niu, Achmad Widodo, Jong Duk Son, Bo Suk Yang, Don- Ha Hwang, Dong, Sik Kang, Decision level fusion based on wavelet decomposition for induction motor fault diagnosis using transient current signal, Expert Systems with Applications 35, 2008, pp. 918-928.
44. R. Guasp, M. Antonino Daviu, J. A. Pineda Sanchez, M.R. Puche Panadero, Perez Cruz, J, A General Approach for the Transient Detection of Slip Dependent Fault Components Based on the Discrete Wavelet Transform, IEEE Transactions on Industrial Electronics, vol. 55, n. 12, 2008, pp. 4167-4180.
45. C. Combastel, S. Lesecq, S. Petropol, S. Gentil, Model-based and wavelet approaches to induction motor on-line fault detection, Control Engineering Practice 10, 2002, pp. 493-509.
46. S. Radhika, G. R. Sabareesh, G. Jagadanand, V. Sugumaran, Precise wavelet for current signature in 3φ IM, Expert Systems with Applications, vol. 37, 2010, pp. 450-455.
47. C. Ming Chen; Loparo, K. A, Electric fault detection for vector controlled induction motors using the discrete wavelet transform, Proceedings of the American Control Conference, vol. 6, 1998, pp. 3297-3301.
48. M. A. Khan; Rahman, M. A. Discrete Wavelet Transform Based Detection of Disturbances in Induction Motors, Electrical and Computer Engineering, ICECE, 2006, pp. 462-465.
49. S. A. Saleh, Khan, M. A. Rahman, M. A, Application of a wavelet based MRA for diagnosing disturbances in a three-phase induction motor, 5th IEEE Conf. on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED, 2005, pp. 1-6.
50. L. R. Cusido, Garcia, A.; Rosero, J. A. Ortega, J. A., Fault detection in induction machines by using continuous and discrete wavelet decomposition, European Conference on Power Electronics and Applications, 2007, pp. 1-8.
51. E. Ayaz; Ozturk, A.; Seker, S, Continuous Wavelet Transform for Bearing Damage Detection in Electric Motors, IEEE Electrotechnical Conference, MELECON. Mediterranean, 2006, pp. 1130-1133.
52. Z. Jian wen, Zhu Ning hui, Yang Li, Yao Qi, Lu Qing, A Fault Diagnosis Approach for Broken Rotor Bars Based on EMD and Envelope Analysis, J. China University Mining & Technol, vol. 17, n. 2, 2007, pp. 205-209.
53. C. Zhitong, Chen Hongping, He Guoguang, Ritchie, E., Rotor fault diagnosis of induction motor based on wavelet reconstruction, Proceedings of the Fifth International Conf. on Electrical Machines and Systems, ICEMS vol. 1, 2001, pp. 374-377.
54. J. Faiz, Ebrahimi, B. M. Asaie, B. Rajabioun, R. Toliyat, H. A, A criterion function for broken bar fault diagnosis in induction motor under load variation using wavelet transform, International Conf. on Electrical Machines and Systems ICEMS, 2007, pp. 1249-1254.
55. C. Yang, Guangzhao Cui, Yunbing Wei, Yongji Wang, Fault Diagnosis for Induction Motors Using the Wavelet Ridge, Second International Conf. on Bio-Inspired Computing: Theories and Applications, BIC-TA, 2007, pp. 231-235.
56. P. Linares, J. Antonino Daviu, J. A. Riera Guasp, M. Pineda Sanchez, Climente Alarcon, V., Induction motor fault diagnosis based on analytic wavelet transform via Frequency BSplines, IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED, 2009, pp. 1-7.
57. P. Sanchez, Riera-Guasp, M., Antonino Daviu, J. A. Roger Folch, J. Perez Cruz, Puche Panadero, R, Diagnosis of Induction Motor Faults in the Fractional Fourier Domain, IEEE Transactions on Instrumentation and Measurement, vol. PP., n. 99, 2009, pp. 1-11.
58. L. Eren, Devaney, M. J, Bearing damage detection via wavelet packet, Proceedings of the 19th IEEE Instrumentation and Measurement Technology Conference, vol. 1, 2002, pp. 109-113.
59. L. Eren, Teotrakool, K. Devaney, M. J, Bearing Fault Detection via Wavelet Packet Decomposition with Spectral Post Processing, IEEE Conference Proceedings on Instrumentation and Measurement Technology, IMTC, 2007, pp. 1-4.
60. O. Moreno, A. de Jesus Romero-Troncoso, R. Vite-Frias, Automatic Online Diagnosis Algorithm for Broken-Bar Detection on Induction Motors Based on Discrete Wavelet Transform for FPGA Implementation, IEEE Transactions on Industrial Electronics, vol. 5, n. 5, 2008, pp. 2193-2202.
61. A. Zadeh, K Milimonfared, J. Haji, M.H Toliyat,. A, Broken bar detection in induction motor via wavelet transformation, The 27th Annual Conference of the IEEE Industrial Electronics Society, IECON, vol. 1, 2001, pp. 95-99.
62. C. Yepez, E. Osornio Rios, R. A. Romero Troncoso, R. J. Razo Hernandez, Jr. Lopez Garcia, R, FPGA Based Online Induction Motor Multiple Fault Detection with Fused FFT and Wavelet Analysis, International Conference on Reconfigurable Computing and FPGAs, 2009, pp. 101-106.
63. J. Antonino Daviu, P. JoverRodriguez, M. Riera Guasp M. Pineda Sanchez, A. Arkkio, Detection of combined faults in induction machines with stator parallel branches through the DWT of the startup current" Mechanical Systems and Signal Processing, vol. 23, 2009, pp. 2336-2351.
64. J. Cusido, Jornet, A., Romeral, L., Ortega, J. A., Garcia, A, Wavelet and PSD as a Fault Detection Techniques, Proceedings of the IEEE Conf. On Instrumentation and Measurement Technology, IMTC, 2006, pp. 1397-1400.
65. Cusido, J., Rosero, J. A., Cusido, M.; Garcia, A., Ortega, J. A.; Romeral, L.; Author, Q., On-Line System for Fault Detection in Induction Machines based on Wavelet Convolution, IEEE Conf. On Power Electronics Specialists, PESC, 2007, pp. 927-932.
66. J. Cusido, L. Romeral, J. A. Ortega, A. Garcia, J. R. Riba, Wavelet and PDD as fault detection techniques, Electric Power Systems Research, EPSR-3012;vol. 88, n. 8, 2010, pp. 915-924.
67. Douglas, H., Pillay, P., Ziarani, A, Detection of broken rotor bars in induction motors using wavelet analysis, IEEE Conf. On Electric Machines and Drive, IEMDC'03 International vol. 2, 2003, pp. 923-928.
68. H. Douglas, Pillay P, The impact of wavelet selection on transient motor current signature analysis, IEEE International Conference on Electric Machines and Drives, 2005, pp. 80-85, 2005.
69. R. Supangat, Ertugrul, N., Soong, W. L. Gray, D. A., Hansen, C. Grieger, J., Detection of broken rotor bars in induction motor using starting-current analysis and effects of loading, IEE Proceedings on Electric Power Applications, vol. 153, n. 6, 2006, pp. 848-855.
70. R. Supangat, Grieger, J., Ertugrul, N., Soong, W. L., Gray, D. A., Hansen, C., Detection of Broken Rotor Bar Faults and Effects of Loading in Induction Motors during Rundown, IEEE International Conference on Electric Machines & Drives, IEMDC, vol. 1, 2007, pp. 196-201.
71. R. Samsi, Rajagopalan, V. Ray, A, Wavelet based symbolic analysis for detection of broken rotor bars in inverter-fed induction motors, IEEE Conf. on Control, ThB07. 3, 2006, pp. 3032-3037.
72. M. Riera Guasp, J. Antonino Daviu, J. Roger Folch, F. Martinez Gimenez, A. Peris, Application and optimization of the discrete wavelet transform for the detection of broken rotor bars in induction machines, Appl. Comput. Harmon. Anal. 21, 2006, pp. 268-279.
73. H. Braham, Keskes, Z. Lachiri, Multiclass Support Vector Machines for Diagnosis of Broken Rotor Bar Faults Using Advanced Spectral Descriptors, International Review of Electrical Engineering (IREE) - Part A, vol. 5. n. 5, 2010, pp. 2095-2105.
74. S. H. Kia, Henao, H. Capolino, G. A, Diagnosis of Broken-Bar Fault in Induction Machines Using Discrete Wavelet Transform without Slip Estimation, IEEE Transactions on Industry Applications, vol. 45, n. 4, 2009, pp. 1395-1404.
75. S. H. Kia, Henao, H. Capolino, S. G. A, Diagnosis of Broken Bar Fault in Induction Machines Using Discrete Wavelet Transform without Slip Estimation, IEEE Conference Record of the Industry Applications, 42nd IAS Annual Meeting, 2007, pp. 1917-1922
76. S. Laribi, Azzedine Bendiabdellah, Stator Short Circuit and Broken Bar Faults Diagnosis of an Indirect Vector Control Squirrel Cage Induction Motor, International Review of Electrical Engineering (IREE) - part A, vol. 5. n. 5, 2010, pp. 2088-2094.
77. L. Eren, Yalcin Cekic, Michael J. Devaney, Broken Rotor Bar Detection via Wavelet Packet Decomposition of Motor Current, International Review of Electrical Engineering (IREE) - part A, vol. 4. n. 5, 2009, pp. 844-850.
78. M. Abdesh; Khan, S. K.; Azizur Rahman, M. A new wavelet based diagnosis and protection of faults in induction motor drives, IEEE Conf. on Power Electronics Specialists, PESC, 2008, pp. 1536-1541.
79. K. Kim, Parlos, A. G, Induction motor fault diagnosis based on neuro predictors and wavelet signal processing, IEEE/ASME Transactions on Mechatronics, vol. 7, n. 2, 2002, pp. 201-219.
80. Z. Ye, Bin Wu, Zargari N, Online mechanical fault diagnosis of induction motor by wavelet artificial neural network using stator current, 26th IEEE Annual Conference of the Industrial Electronics Society, IECON, vol. 2, 2000, pp. 1183-1188.
81. A. Sadeghian, Zhongming Ye, Bin Wu, Online Detection of Broken Rotor Bars in Induction Motors by Wavelet Packet Decomposition and Artificial Neural Networks, IEEE Transactions on Instrumentation and Measurement, vol. 58, n. 7, 2009, pp. 2253-2263.
82. G. Zhou, Guorong Liu, Yiping Luo, Asynchronous Motor Fault Diagnosis Based on Wavelet Neural Network, International Conference on Information Engineering and Computer Science, ICIECS, 2009, pp. 1-4.
83. G. Ming Xian, Bi Qing Zeng, An intelligent fault diagnosis method based on wavelet packer analysis and hybrid support vector machines, Expert Systems with Applications, vol. 36, 2009, pp. 12131-12136.
84. X. Lou, Kenneth A. Loparo, Bearing fault diagnosis based on wavelet transform and fuzzy inference, Mechanical Systems and Signal Processing, vol. 18, 2004, pp. 1077-1095.
85. E. Zacharias Gketsis, Michalis E. Zervakis, George Stavrakakis, Detection and classification of winding faults in windmill generators using Wavelet Transform and ANN, Electric Power Systems Research, vol. 79, 2009, pp. 1483-1494.
86. V. Tung Tran, Bo Suk Yang, Myung Suck Oh, Andy Chit Chiow Tan, Fault diagnosis of induction motor based on decision trees and adaptive neuro-fuzzy inference, Expert Systems with Applications, vol. 36, 2009, pp. 1840-1849.
87. N. G. Vilas, Sanjay V. Dudul, Optimal MLP neural network classifier for fault detection of three phase induction motor, Expert Systems with Applications, vol. 37, 2010, pp. 3468-3481.
88. G. K. Singh, Sa'ad Ahmed Saleh Al Kazzaz, Isolation and identification of dry bearing faults in induction machine using wavelet transform, Tribology International, vol. 42, 2009, pp. 849-861.
89. A. Widodo, Bo Suk Yang, Wavelet support vector machine for induction machine fault diagnosis based on transient current signal, Expert Systems with Applications, vol. 35, 2008, pp. 307-316.
90. Z. Ye, Bin Wu, Online rotor bar breakage detection of three phase induction motors by wavelet packet decomposition and artificial neural network, IEEE 32nd Annual Conf. on Power Electronics Specialists, vol. 4, 2001, pp. 2209-2216.
91. Q. Guo, Xiaoli Li, Haibin Yu, Xiangzhi Che; Wei Hu, Jingtao Hu, Fault Monitoring and Diagnosis of Induction Machines Based on Harmonic Wavelet Transform and Wavelet Neural Network, International Conference on Natural Computation, ICNC. vol. 4, 2008, pp. 140-146.
92. X. Li Ying; Wan Nan Lan, Motor Fault Diagnosis Based on Wavelet Neural Network, International Conference on Intelligent Computation Technology and Automation, ICICTA, vol. 2, 2009, pp. 553-555.
93. Karatoprak, E., Senguler, T., Seker, S, Using probabilistic neural networks with wavelet transform and principal components analysis for motor fault detection, IEEE 16th Signal Processing, Communication and Applications Conference, SIU, 2008, pp. 1-4.
94. S. C. Tan, C. P. Lim, M. V. C. Rao, A hybrid neural network model for rule generation and its application to process fault detection and diagnosis, Engineering Applications of Artificial Intelligence, vol. 20, 2007, pp. 203-213.
95. H. Saghafinia, W. Ping, M. A. Rahman, High Performance Induction Motor Drive Using Hybrid Fuzzy-PI and PI Controllers: a Review, International Review of Electrical Engineering (IREE) - part A, vol. 5. n. 5, 2010, pp. 2000-2012.
96. S. Subramanian, Mathur Badrilal, Joseph Henry, Wavelet Transform Based Differential Protection For Power Transformer and Classification of Faults Using SVM and PNN, International Review of Electrical Engineering (IREE) - Part B, vol. 5. n. 5, 2010, pp. 2186-2198.
97. Moshtagh, P. Jalili, High Impedance Fault Location for Aged Power Distribution Cables Using Combined Neural Networks & Wavelet Analysis, International Review of Electrical Engineering (IREE) - part B, vol. 4. n. 5, 2009, pp. 967-975.
98. P. Moallem, B. Mirzaeian Dehkordi, S. M. Shirvani Boroujeni, Determination of Number of Broken Rotor Bars in Squirrel- Cage Induction Motors Using Wavelet, PCA and Neural Networks, International Review of Electrical Engineering (IREE), vol. 4. n. 1, 2009, pp. 242-248.
99. K. Kouzi, M S. Nait Said, M. Hilairet, E. Berthlot, Fuzzy MRAS Speed Estimator for Vector Control of an Induction Motor, International Review of Electrical Engineering (IREE), vol. 4. n. 1, 2008, pp. 278-283.
100. Y. Onel, M. El H. Benbouzid, Induction Motors Bearing Failures Detection and Diagnosis Using a RBF ANN Park Pattern Based Method, International Review of Electrical Engineering (IREE), vol. 3. n. 1, 2008, pp. 166-173.
101. Y. Yusof, Simulation and modeling of stator flux estimator for induction motor using artificial neural network technique, National Power Engineering Conference, PECon, 2003, pp. 11-15.
102. G. Mahmoud, M. M. A, Inverter Faults In Variable Voltage Variable Frequency Induction Motor Drive, Compatibility in Power Electronics, CPE, 2007, pp. 1-6.
103. B. Cui, Simulation of Inverter with Switch Open Faults Based on Switching Function, IEEE International Conference on Automation and Logistics, 2007, pp. 2774-2778.
104. C. Yeh, Fault Tolerant Operations in Adjustable-Speed Drives and Soft Starters for Induction Motors, IEEE Power Electronics Specialists Conference, PESC, 2007, pp. 1942-1949.
105. M. A. Khan, Radwan, T. S., Rahman, M. A, Wavelet Based Diagnosis and Protection of Three Phase Induction Motor Fed from Sinusoidal PWM Voltage Source Inverter, The 3rd IET International Conference on Power Electronics, Machines and Drives, 2006, pp. 226-230.
106. M. S. Khanniche, M. R. Mamat Ibrahim, Fault Detection and Diagnosis of 3-Phase Inverter System, UK, Power Engineering, 2001, pp. 69-75.
107. D. E. Kim, Dong Choon Lee, Fault Diagnosis of Three-Phase PWM Inverters using Wavelet and SVM, IEEE International Symposium on Industrial Electronics, ISIE, 2008, pp. 329-334.
108. R. J. Patton, Fault Tolerant Control Systems: The 1997 Situation, University of Hull, School of Engineering, Hull HU6 7RX, UK. 1997
109. Mohamed, H. Y. Sliding mode sensor fault tolerant control structure for induction motor. SICE Annual Conference, pp. 2630-2635, 2008.
110. J. K. Dongmo, Variable Structure Design of a Fault Tolerant Control System for Induction Motors, IEEE Electric Ship Technologies Symposium, ESTS, 2007, pp. 531-535.
111. A. Paoli, Fault Detection and Fault Tolerant Control for Distributed Systems. A General Framework, Ph. D thesis. University of Bologna, 2003.
112. A. S. Saleh, Fault Tolerant Field Oriented Control of Induction Motor for Loss of One Inverter Phase with Re-starting Capability, IEEE International Symposium on Industrial Electronics, ISIE, 2007, pp. 1340-1345.
113. Khil, E.S.S.B.D, A Fault Tolerant Operating System in a Doubly Fed Induction Machine Under Inverter Short-circuit Faults, 32nd Annual IEEE Industrial Electronics, IECON, 2006, pp. 1125-1130.
114. H. T. Nademi, Fault tolerant IPMS motor drive based on adaptive backstepping observer with unknown stator resistance, 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA, 2008, pp. 1785-1790,
115. H.C.E. Alwi, Fault tolerant control using sliding modes with online control allocation. Automatica, vol. 44, n. 7, 2008, pp. 859-1866.
116. P.D.S.C. Anjali, Intelligent state estimation for fault tolerant nonlinear predictive control, Journal of Process Control, vol. 19, n. 2, 2009, pp. 187-204.
117. O. T. Matthew, Cole P. S, Towards fault tolerant active control of rotor magnetic bearing systems, Control Engineering Practice, vol. 2, n. 4, 2004, pp. 491-501.
118. Y.J.J. Zhang, Bibliographical review on reconfigurable fault tolerant control systems, Annual Reviews in Control, vol. 32, n. 2, 2008, pp. 229-252.
119. H. L. Liu, Adaptive fault tolerant control for a class of inherent nonlinear systems, Control and Decision Conference, CCDC, 2008, pp. 541-545.
120. M. S Romero, Sensor fault tolerant vector control of induction motors, IET Control Theory & Applications, vol. 4, n. 9, 2010, pp. 1707-1724.
121. A.B.M. Sayed Ahmed, Fault Tolerant Technique for Δ- Connected AC-Motor Drives, IEEE Transactions on Energy Conversion, vol. 26, n. 2, 2011, pp. 646-653.
122. Y. Lee, A Stator Turn Fault Detection Method and a Fault Tolerant Operation Strategy For Interior PM Synchronous Motor Drives in Safety Critical Application, Ph. d thesis, School of Electrical and Computer Engineering, Georgia Institute of Technology, 2007.
123. Y. A Barakat, Modeling and Diagnostic of Stator Faults in Induction Machines Using Permeance Network Method, PIERS Proceedings, Marrakesh, Morocco, 2011, pp. 1550-1559.
124. R.N.K. Rajeswari, Diagnosis of Inter Turn Fault in the Stator of Synchronous Generator Using Wavelet Based ANFIS, World Academy of Science, Engineering and Technology, 36, 2007, pp. 203-209.
125. M. J.J.P Gojko, The Detection of Inter-Turn Short Circuits in the Stator Windings of Operating Motors, IEEE Transactions on Industrial Electronics, vol. 47, n. 5, 2000, pp. 1078-1085.
126. J.T.R. Ahmed Farooq, Modelling and simulation of stator winding inter-turn faults in permanent magnet synchronous motors, The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, vol. 27, n. 4, 2008, pp. 887-896.
127. K.S.S. Vinoth Kumar, Soft Computing Based Fault Diagnosis, Second International conference on Computing, Communication and Networking Technologies, 2010, pp. 1-7.
128. D.U.D.E. Campos Delgado, Fault tolerant control in variable speed drives: a survey, IET Electric Power Applications, vol. 2, n. 2, 2008, pp. 121-134.
129. B.M.B. Tabbache, DSP Based Sensor Fault Tolerant Control. IEEE International Symposium on Industrial Electronics (ISIE), 2011, pp. 2085-2090.
130. R.B.J.C. Sepe, Fault Tolerant Operation of Induction Motor Drives with Automatic Controller Reconfiguration. Practical Failure Analysis, vol. 3, n. 1, 2003, pp. 64-70.
131. F. D Zidani, Diagnosis of Speed Sensor Failure in Induction Motor Drive, IEEE International Electric Machines & Drives Conference, IEMDC, 2007, pp. 1680-1684.
132. A.F.N. Fekih, A Robust Fault Tolerant Control Strategy for a Class of Nonlinear Uncertain Systems, Proceedings of American Control Conference, 2006, pp. 5474-5480.
133. M.D.D. El Hachemi Benbouzid, Advanced Fault Tolerant Control of Induction Motor Drives for EV/HEV Traction Applications: From Conventional to Modern and Intelligent Control Techniques, IEEE Transactions on Vehicular Technology, vol. 56, n. 2, 2007, pp. 519-527.
134. M.A.A.C. Rodriguez, A Strategy to Replace the Damaged Element for Fault Tolerant Induction Motor Drive. International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), 2008, pp. 51-55.
135. A.M.H. Akrad, Design of a Fault Tolerant Controller Based on Observers for a PMSM Drive, IEEE Transactions on Industrial Electronics, vol. 58, n. 4, 2011, pp. 1416-1427.
136. S. S. Darly, P. Vanaja Ranjan, B. Justus Rabi, Bindu K. V, Fault Tolerant Control in Z-Source Inverter Fed Induction Motor, International Journal of Power Electronics and Drive System, vol. 1, n. 1, 2011, pp. 29-35.
137. G. Gokmen, Wavelet Based Instantaneous Reactive Power Calculation Method and a Power System Application Sample, International Review on Modelling and Simulations (IREMOS), vol. 4 n. 2, 2011, pp. 745-752.
138. Gh. Milan, E. Seifi, F. Najaty, M. Mohamadian, A Fault Tolerant Indirect Matrix Converter Motor Drive Against Grid Side Faults, International Review on Modelling and Simulations, (IREMOS), vol. 4 n. 3, 2011, pp. 1035-1043.
139. Masoud Omidvar, M. R. Haghifam, B. Somayeh Mousavi, A Novel Wind Farm Modeling to Improve Reliability Assessment of Power System, International Review on Modelling and Simulations (IREMOS), vol. 4 n. 4, 2011, pp. 1791-1798.
140. S. Sedghi, A. Dastfan, A. Ahmadyfard, Fault Detection and Reconfiguration of a Modular Multilevel Inverter Using Histogram Analysis and Neural Network, International Review on Modelling and Simulations (IREMOS), vol. 4 n. 5, 2011, pp. 2057-2065.