Rotor fault condition monitoring techniques for squirrel-cage induction machine - A review

Mechanical Systems and Signal Processing

Volumn 25, Issue 8, 2011, Pages 2827-2848

  Mehrjou, Mohammad Rezazadeh ^a   Mariun, Norman ^a   Hamiruce Marhaban, Mohammad ^a   Misron, Norhisam ^a  

^a UNIVERSITY PUTRA MALAYSIA   (Malaysia)

Author keywords

Broken rotor bar; Condition monitoring; Diagnostics; Fault detection; Maintenance; Squirrel cage induction machines

Indexed keywords

BROKEN ROTOR BAR; INCIPIENT FAULT DETECTION; INDUCTION MACHINES; MACHINERY MAINTENANCE; MANUFACTURING COMPANIES; MONITORING TECHNIQUES; MOTOR FAULT; ROTOR FAULT; SIGNAL PROCESSING TECHNIQUE; SQUIRREL-CAGE INDUCTION;

ASYNCHRONOUS MACHINERY; ELECTRIC FAULT LOCATION; FAULT DETECTION; MACHINERY; MAINTENANCE; PLASMA DIAGNOSTICS; SIGNAL PROCESSING; SQUIRREL CAGE MOTORS;

CONDITION MONITORING;

EID: 80052803250     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2011.05.007     Document Type: Review

References (193)

1. A.H. Bonnett, and G.C. Soukup Analysis of rotor failures in squirrel cage induction motors IEEE Transactions on Industry Applications 24 6 1988 1124 1130
2. A. Siddique, G.S. Yadava, and B. Singh A review of stator fault monitoring techniques of induction motors IEEE Transactions on Energy Conversion 20 1 2005 106 114 (Pubitemid 40377529)
3. F. Filippeti, G. Franceschini, and C. Tassoni Neural networks aided on-line diagnostics of induction motor rotor faults IEEE Transactions on Industry Applications 31 4 1995 892 899
4. A.H. Bonnett, and G.C. Soukup Rotor failures in squirrel cage induction motors IEEE Transactions on Industry Applications 22 6 1986 1165 1173
5. C.C. Yeh, G.Y. Sizovl, A. Sayed-Ahmed, N.A.O. Demerdashl, R.J. Povinellil, E.E. Yaz, D.M. Ionel, A. Reconfigurable Motor for experimental emulation of stator winding inter-turn and broken bar faults in polyphase induction machines, in: Proceedings of the IEEE International Electric Machines & Drives Conference, 2007, pp. 14131419. (Pubitemid 47554083)
6. A.H. Bonnett, and G.C. Soukup Cause and analysis of stator and rotor failures in three-phase squirrel-cage induction motors IEEE Transactions on Industry Applications 28 4 1992 921 937
7. J.R. Cameron, W.T. Thomson, A.B. Dow, Vibration and current monitoring for detecting airgap eccentricity in large induction motors, in: Proceedings of the IEE Electric Power Applications, 1986, pp. 155163.
8. S. Nandi, H.A. Toliyat, and X. Li Condition monitoring and fault diagnosis of electrical motors - A Review IEEE Transactions on Energy Conversion 20 4 2005 719 729 (Pubitemid 41830047)
9. J. Faiz, and M. Ojaghi Different indexes for eccentricity faults diagnosis in three-phase squirrel-cage induction motors: A review Mechatronics 19 1 2009 2 13
10. W.T. Thomson, R.J. Gilmore, Motor current signature analysis to detect faults in induction motor drives - fundamentals, data interpretation and industrial case histories, in: Proceedings of the 32nd Turbomachinery Symposium, Houston, TX, USA, 2003, pp. 145156.
11. S. Nandi, R. Bharadwaj, H.A. Toliyat, A.G. Parlos, Study of three phase induction motors with incipient rotor cage Faylts under different supply conditions, in: Proceedings of the IEEE Industry Applications Conference, 34th IAS Annual Meeting, 1999, pp. 19221928. (Pubitemid 30544028)
12. A.B. Sasi, F. Gu, Y. Li, and A.D. Ball A validated model for the prediction of rotor bar failure in squirrel-cage motors using instantaneous angular speed Mechanical Systems and Signal Processing 20 7 2006 1572 1589 (Pubitemid 44255679)
13. J. Ilonen, J.K. Kamarainen, T. Lindh, J. Ahola, H. Kälviäinen, and J. Partanen Diagnosis tool for motor condition monitoring IEEE Transactions on Industry Applications 41 4 2005 963 971 (Pubitemid 41135847)
14. P. Pennacchi, N. Bachschmid, A. Vania, G.A. Zanetta, and L. Gregori Use of modal representation for the supporting structure in model-based fault identification of large rotating machinery: Part 1 - theoretical remarks Mechanical Systems and Signal Processing 20 3 2006 662 681 (Pubitemid 41766677)
15. N. Bachschmid, P. Pennacchi, and E. Tanzi Cracked Rotors 2010 Springer-Verlag Berlin Heidelberg 978-3-642-01484-0
16. P. Pennacchi, N. Bachschmid, A. Vania, G.A. Zanetta, and L. Gregori Use of modal representation for the supporting structure in model-based fault identification of large rotating machinery: Part 2 - application to a real machine Mechanical Systems and Signal Processing 20 3 2006 682 701 (Pubitemid 41766678)
17. A. Bellini, F. Filippetti, C. Tassoni, and G.A. Capolino Advances in diagnostic techniques for induction machines IEEE Transactions on Industrial Electronics 55 12 2008 4109 4126
18. R. Fiser, and S. Ferkolj Application of finite element method to predict damaged induction motor performance IEEE Transactions on Magnetics 37 5 2001 3635 3639 (Pubitemid 33006081)
19. W.R. Finley, M.M. Hodowanec, and W.G. Holter Analytical approach to solving motor vibration problems IEEE Transactions on Industry Applications 36 5 2000 1467 1480
20. I.M. Culbert, and W. Rhodes Using current signature analysis technology to reliably detect cage winding defects in squirrel-cage induction motors IEEE Transactions on Industry Applications 43 2 2007 422 428 (Pubitemid 46563077)
21. P. Zhang, Y. Du, T.G. Habetler, and B. Lu A survey of condition monitoring and protection methods for medium-voltage induction motors IEEE Transactions on Industry Applications 47 1 2011 34 46
22. M. Drif, A.J.M. Cardoso, Rotor Cage Fault Diagnostics in three-phase induction motors, by the instantaneous non-active power signature analysis, in: Proceedings of the IEEE International Symposium on Industrial Electronics, 2007, pp. 10501055.
23. A.B. Sasi, F. Gu, B. Payne, and A.D. Ball Instantaneous angular speed monitoring of electric motors Journal of Quality in Maintenance Engineering 10 2 2004 123 135
24. N. Tandon, and A. Choudhury A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings Tribology International 32 8 1999 469 480 (Pubitemid 30550533)
25. A.J. Ellison, S.J. Yang, Effects of rotor eccentricity on acoustic noise from induction machines, in: Proceedings of the Institution of Electrical Engineers, 1971, pp. 174184.
26. W. Li, and C.K. Mechefske Detection of induction motor faults: A comparison of stator current, vibration and acoustic methods Journal of Vibration and Control 12 2 2006 165 188 (Pubitemid 43260664)
27. A. Gaylard, A. Meyer, C. Landy, Acoustic evaluation of faults in electrical machines, in: Proceedings of the Seventh International Conference on Electrical Machines and Drives, Durham, UK, 1995, pp. 147150.
28. S.P. Verma, W. Li, Measurement of Vibrations and Radiated Acoustic Noise of Electrical Machines, in: Proceeding of the Sixth International Conference on Electrical Machines and Systems, 2003, pp. 861866.
29. S.P. Verma, Noise and vebrations of electrical machines and drives; their procedure and means of reduction, in: Proceedings of the International Conference on Power Electronics, Drives and Energy Systems for Industrial Growth, Vol. 2, 1996, pp. 10311037.
30. J.S. Hsu, H.H. Woodson, and W.F. Weldon Possible errors in measurement of airgap torque pulsations of induction motors IEEE Transactions on Energy Conversion 7 1 1992 202 208
31. J.S. Hsu Monitoring of defects in induction motors through air-gap torque observation IEEE Transactions on Industry Applications 31 5 1995 1016 1021
32. R.S. Wieser, M. Schagginger, C. Kral, F. Pirker, The integration of machine fault detection into an indirect field oriented induction machine drive control scheme the Vienna monitoring method, in: Proceedings of the IEEE Industry Applications Society Annual Meeting, 1998, pp. 278285.
33. R.S. Wieser, C. Kral, F. Pirker, M. Schagginger, and On-Line Rotor Cage Monitoring of inverter-fed induction machines by means of an improved method IEEE Transactions on Power Electronics 14 5 1999 858 865 (Pubitemid 30503477)
34. C. Kral, F. Pirker, and G. Pascoli Detection of rotor faults in squirrel-cage induction machines at standstill for batch tests by means of the Vienna monitoring method IEEE Transactions on Industry Applications 38 3 2002 618 624 (Pubitemid 34750430)
35. C. Kral, F. Pirker, and G. Pascoli Model-based detection of rotor faults without rotor position sensor - The sensorless Vienna monitoring method IEEE Transactions on Industry Applications 41 3 2005 784 789 (Pubitemid 40843710)
36. A. Bellini, F. Filippetti, G. Franceschini, C. Tassoni, and G.B. Kliman Quantitative evaluation of induction motor broken bars by means of electrical signature analysis IEEE Transactions on Industry Applications 37 5 2001 1248 1255 (Pubitemid 32992792)
37. H.D. Haynes, and D.M. Eissenberg Motor current signature analysis The Oak Ridger December 17, 1989
38. H.D. Haynes, R.C. Kryter, B.K. Stewart, Use of motor current signature analysis at The EPRI M&D Center, in: Proceedings of the EPRI Incipient Failure Detection Conference: Predictive Maintenance, 1990.
39. N.P. Bethel The new role of current analysis in predictive maintenance AISE steel technology 80 1 2003 45 50
40. J.F. Bangura, and N.A. Demerdash Diagnosis and characterization of effects of broken bars and connectors in squirrel-cage induction motors by a time-stepping coupling finite element state space modeling approach IEEE Transactions on Energy Conversion 14 6 1999 1167 1176 (Pubitemid 30540983)
41. B.E. Gaydon, An instrument to detect induction motor rotor circuit defects by speed fluctuation measurements, in: Proceedings of the Electric Test and Measuring Equipment Conference, 1979, pp. 58.
42. G.B. Kliman, R.A. Koegl, J. Stein, R.D. Endicott, and M.W. Madden Noninvasive detection of broken rotor bars in operating induction motors IEEE Transactions on Energy Conversion 3 4 1988 873 879
43. C. Hargis, B. Gaydon, K. Kamash, The detection of rotor defects in induction motors, in: Proceedings of the IEE Conference Electrical Machine, 1982, pp. 216220. (Pubitemid 13453371)
44. R. Hirvonen, On line condition monitoring of defects in squirrel cage motors, in: Proceedings of the International Conference of Electrical Machine (ICEM), 1994, pp.267272.
45. W.T. Thomson On-Line Fault Diagnosis in Induction Motor Drives via MCSA 2001 EM Diagnostics Ltd Scotland
46. F.Filippetti, M. Martelli, G. Franceschini, C. Tassoni, Development of expert system knowledge base to on-line diagnosis of rotor electrical faults of induction motors, in: Proceedings of the IEEE Industry Applications Society Annual Meeting, 1992, pp. 9299.
47. C. Bruzzese, O. Honorati, E. Santini, D. Sciunnache, New Rotor Fault, Indicators for squirrel cage induction motors, in: Proceedings of the 41st IAS Annual Conference of the IEEE Industry Applications, 2006, pp. 15411548. (Pubitemid 47514813)
48. J. Siau, A. Graff, W. Soong, and N. Ertugrul Broken bar detection in induction motors using current and flux spectral analysis Australian Journal of Electrical and Electronics Engineering 1 3 2004 171 177
49. G. Didier, E. Ternisien, O. Caspary, and H. Razik A new approach to detect broken rotor bars in induction machines by current spectrum analysis Mechanical Systems and Signal Processing 21 2 2007 1127 1142 (Pubitemid 44667422)
50. G.G. Acosta, C.J. Verucchi, and E.R. Gelso A current monitoring system for diagnosing electrical failures in induction motors Mechanical Systems and Signal Processing 20 4 2006 953 965 (Pubitemid 43121168)
51. A. Bellini, F. Filippetti, G. Franceschini, C. Tassoni, R. Passaglia, M. Saottini, G. Tontini, M. Giovannini, and A. Rossi On-field experience with online diagnosis of large induction motors cage failures using MCSA IEEE Transactions on Industry Applications 38 4 2002 1045 1053 (Pubitemid 35022919)
52. G. Muller, and C. Landy A novel method to detect broken rotor bars in squirrel cage induction moton when interbar currents are present IEEE Transaction on Energy Conversion 18 1 2003 71 79
53. H. Razik, H. Henao, and R. Carlson An induction machine model including interbar currents for studying performances during transients and steady state Electric Power Systems Research 79 1 2009 181 189
54. Z. Ye, A. Sadeghian, and B. Wu Mechanical fault diagnostics for induction motor with variable speed drives using Adaptive Neuro-fuzzy Inference System Electric Power Systems Research 76 9-10 2006 742 752 (Pubitemid 43670529)
55. H. Douglas, P. Pillay, and A. Ziarani A new algorithm for transient motor current signature analysis using wavelets IEEE Transactions on Industry Applications 40 5 2004 1361 1368
56. A. Ferrah, K.J. Bradley, and G.M. Asher An FFT-based novel approach to noninvasive speed measurement in induction motor drives IEEE Transactions Instrument Measurement 41 6 1992 797 802
57. P.L. Jansen, and R.D. Lorenz Transducerless position and velocity estimation in induction and salient AC machines IEEE Transactions on Industry Applications 31 2 1995 240 247
58. H.D. Hurst, and T.G. Habetler Sensorless speed measurement using current harmonic spectral estimation in induction machine drives IEEE Transactions on Power Electronics 11 1 1996 66 73 (Pubitemid 126777327)
59. K.D. Hurst, and T.G. Habetler A comparison of spectrum estimation techniques for sensorless speed detection in induction machines IEEE Transactions on Industry Applications 33 4 1997 898 905 (Pubitemid 127768760)
60. R. Blasco-Gimenez, K.D. Hurst, and T.G. Habetler Comments on sensorless speed measurement using current harmonic spectral estimation in induction machine drives IEEE Transactions on Power Electronics 12 5 1997 938 940
61. F. Filippeti, G. Franceschinni, C. Tassoni, and P. Vas AI techniques in induction machines diagnosis including the speed ripple effect IEEE Transactions on Industry Applications 34 1 1998 98 108 (Pubitemid 128739701)
62. P.V.J. Rodrguez, M. Negrea, and A. Arkkio A simplified scheme for induction motor condition monitoring Mechanical Systems and Signal Processing 22 5 2008 1216 1236
63. B. Ayhan, M.Y. Chow, and M.H. Song M.H. multiple discriminant analysis and neural-network-based monolith and partition fault-detection schemes for broken rotor bar in induction motors IEEE Transactions on Industry Electronics 53 4 2006 1298 1308 (Pubitemid 44263740)
64. G. Salles, F. Filippetti, C. Tassoni, G. Grellet, and G. Franceschini Monitoring of induction motor load by neural network techniques IEEE Transactions on Power Electronics 15 4 2000 762 768
65. R. Schoen, B. Lin, T.G. Habetler, J. Schalag, and S. Farag S. An un-supervised online system for induction motor fault detection using stator current monitoring IEEE Transactions on Industry Applications 31 6 1995 1280 1286
66. A.M. Trzynadlowski, and E. Ritchie Comparative investigation of diagnostic media for induction motors: A case of rotor cage faults IEEE Transactions on Industrial Electronics 47 5 2000 1092 1099
67. S.H. Kia, A.M. Mabwe, H. Henao, G.A. Capolino, Wavelet based instantaneous power analysis for induction machine fault diagnosis, in: Proceedings of the 32nd Annual Conference on IEEE Industrial Electronics, IECON, 2006, pp. 12291234.
68. I.P. Tsoumas, G. Georgoulas, E.D. Mitronikas, and A.N. Safacas Asynchronous machine rotor fault diagnosis technique using complex wavelets IEEE Transactions on Energy Conversion 23 2 2008 444 459 (Pubitemid 351728785)
69. G.B. Kliman, Spectral analysis of induction motor current to detect rotor faults with reduced false alarms. U.S. Patent 4049815 (1991).
70. A. Bellini, A. Yazidi, F. Filippetti, C. Rossi, and G.A. Capolino High frequency resolution techniques for rotor fault detection of induction machines IEEE Transactions on Industry Electronics 55 12 2008 4200 4209
71. S. Gunal, D. Gokhan Ece, and O. Nezih Gerek Induction machine condition monitoring using notch-filtered motor current Mechanical Systems and Signal Processing 23 8 2009 2658 2670
72. V. Fernao Pires, J.F. Martins, and A.J. Pires Eigenvector/eigenvalue analysis of a 3D current referential fault detection and diagnosis of an induction motor Energy Conversion and Management 51 5 2010 901 907
73. A. Bellini, G. Franceschini, and C. Tassoni Monitoring of induction machines by maximum covariance method for frequency tracking IEEE Transactions on Industry Applications 42 1 2006 69 78 (Pubitemid 43204769)
74. M.E.H. Benbouzid, M. Vieira, and C. Theys Induction motors faults detection and localization using stator current advanced signal processing techniques IEEE Transactions on Power Electronics 14 1 1999 14 22
75. K. Kim, and A.G. Parlos Induction motor fault diagnosis based on neuropredictors and wavelet signal processing IEEE/ASME Transactions Mechatronics 7 2 2002 201 219
76. C. Combastel, S. Lesecq, S. Petropol, and S. Gentil Model-based and wavelet approaches to induction motor on-line fault detection Control Engineering Practice 10 5 2002 493 509 (Pubitemid 34801195)
77. Z. Ye, B. Wu, and A. Sadeghian Current signature analysis of induction motor mechanical faults by wavelet packet decomposition IEEE Transactions on Industry Electronics 50 6 2003 1217 1228
78. H. Bae, S. Kim, Y.T. Kim, and S.H. Lee Application of time-series data mining for fault diagnosis of induction motors Lecture Notes in Computer Science Computational Science and Its Applications-ICCSA Springer Berlin / Heidelberg 3483 2005 1085 1094 (Pubitemid 41313509)
79. A. Yazidi, H. Henao, G.A. Capolino, M. Artioli, F. Filippetti, Improvement of frequency resolution for three-phase induction machine fault diagnosis, in: Procedings of the 40th IAS Annu Meeting Conference, Vol.1, 2005, pp. 2025. (Pubitemid 44042426)
80. J.H. Jung, J.J. Lee, and B.H. Kwon Online diagnosis of induction motors using MCSA IEEE Transactions on Industry Electronics 53 6 2006 1842 1852
81. S.H. Lee, S.P. Cheon, Y. Kim, and S. Kim Fourier and wavelet transformations for the fault detection of induction motor with stator current Lecture Notes in Computer Science Springer 4114 2006 557 569 (Pubitemid 44532296)
82. J. Cusido, L. Romeral, J.A. Ortega, J.A. Rosero, and A.G. Espinosa Fault detection in induction machines using power spectral density in wavelet decomposition IEEE Transactions on Industrial Electronics 55 2 2008 633 643 (Pubitemid 351344237)
83. A. Sadeghian, Z. Ye, and B. Wu Online detection of broken rotor bars in induction motors by wavelet packet decomposition and artificial neural networks IEEE Transactions on Instrumentation and Measurement 58 7 2009 2253 2263
84. F. Filippeti, G. Franceschinni, C. Tassoni, and P. Vas Recent developments of induction motor drives fault diagnosis using AI techniques IEEE Transactions on Industry Electronics 47 5 2000 994 1004
85. C.T. Kowalski, and T.O. Kowalska Neural networks application for induction motor faults diagnosis Mathematics and Computers in Simulation 63 3-5 2003 435 448
86. Y. Liu, L. Guo, Q. Wang, G. An, M. Guo, and H. Lian Application to induction motor faults diagnosis of the amplitude recovery method combined with FFT Mechanical Systems and Signal Processing 24 8 2010 2961 2971
87. L.A. García-Escudero, O. Duque-Perez, D. Morinigo-Sotelo, and M. Perez-Alonso Robust condition monitoring for early detection of broken rotor bars in induction motors Expert Systems with Applications 38 3 2011 2653 2660
88. M. Eltabach, J. Antoni, and M. Najjar Quantitative analysis of noninvasive diagnostic procedures for induction motor drives Mechanical Systems and Signal Processing 21 7 2007 2838 2856 (Pubitemid 47284797)
89. M. Eltabach, J. Antoni, G. Shanina, S. Sieg-Zieba, and X. Carniel Broken rotor bars detection by a new non-invasive diagnostic procedure Mechanical Systems and Signal Processing 23 4 2009 1398 1412
90. S. Chen, and R. Zivanovic Estimation of frequency components in stator current for the detection of broken rotor bars in induction machines Measurement 43 7 2010 887 900
91. J. Cusido, L. Romeral, J.A. Ortega, A. Garcia, and J.R. Riba Wavelet and PDD as fault detection techniques Electric Power Systems Research 80 8 2010 915 924
92. I. Aydin, M. Karakose, and E. Akin A new method for early fault detection and diagnosis of broken rotor bars Energy Conversion and Management 52 4 2011 1790 1799
93. W.T. Thomson, N.D. Deans, R.A. Leonard, A.J. Milne, Monitoring strategy for discriminating between different types of rotor defects in induction motors, in: Proceedings of the University Power Engineering Conference, 1983, pp. 241246.
94. S. Elder, J.F. Watson, W.T. Thomson, Fault detection in induction motors as a result of transient analysis, in: Proceedings of the Fourth International Conference Electrical Machines and Drives, 1989, pp. 182186. (Pubitemid 20639367)
95. F. Briz, M.W. Degner, P. García, D. Bragado, and Broken Rotor Bar Detection in line-fed induction machines using complex wavelet analysis of startup transients IEEE Transactions on Industry Applications 44 3 2008 760 768 (Pubitemid 351796122)
96. R. Yacamini, K.S. Smith, and L. Ran Monitoring torsional vibrations of electro-mechanical systems using stator currents Journal of Vibration and Acoustic 120 1 1998 72 79 (Pubitemid 128651960)
97. J. Faiz, and B.M. Ebrahimi A new pattern for detecting broken rotor bars in induction motors during start-up IEEE Transactions on Magnetics 44 2 2008 4673 4683
98. Q.Q. Arui, Diagnosis of rotor fault in squirrel cage induction motors using time-varying frequency spectrum of starting stator current, in: Proceedings of the Chinese Society Electrical Engineering, 1995, pp. 267273.
99. J.F. Watson, N.C. Paterson, Improved techniques for rotor fault detection in three-phase induction motors, in: Proceedings of the IEEE Industry Applications Conference 33rd IAS Annual Meeting, 1998, pp. 271277.
100. R. Burnett, J.F. Watson, and S. Elder The application of modern signal processing techniques for use in rotor fault detection and location within three-phase induction motors Signal Processing 49 1 1996 57 70 (Pubitemid 126343019)
101. Z. Zhang, Z. Ren, W. Huang, and A. Novel Detection method of motor broken rotor bars based on wavelet ridge IEEE Transactions on Energy Conversion 18 3 2003 417 423
102. M. Riera-Guasp, J. Antonino, J. Roger-Folch, M.P. Molina, Detection of broken rotor bars in induction machines through the study of the startup transient via wavelet decomposition, in: Proceedings of the Nineth International Conference Optimization Electrical and Electronic Equipments, Brasov, Romania, 2004, pp. 3946.
103. H. Douglas, P. Pillay, and A. Ziarani Broken rotor bar detection in induction machines with transient operating speeds IEEE Transactions Energy Conversion 20 1 2005 135 141 (Pubitemid 40377533)
104. J. Antonino-Daviu, M. Riera-Guasp, J. Roger-Folch, and M. Palomares Validation of a new method for the diagnosis of rotor bar failures via wavelet transform in industrial induction machines IEEE Transactions on Industry Applications 42 4 2006 990 996 (Pubitemid 44111477)
105. J. Antonino-Daviu, P. Jover, M. Riera, A. Arkkio, and J. Roger-Folch DWT analysis of numerical and experimental data for the diagnosis of dynamic eccentricities in induction motors Mechanical Systems and Signal Processing 21 6 2007 2575 2589 (Pubitemid 46829764)
106. A. Widodo, and B.S. Yang Wavelet support vector machine for induction machine fault diagnosis based on transient current signal Expert Systems with Applications 35 1-2 2008 307 316
107. J. Antonino-Daviu, P.J. Rodriguez, M. Riera-Guasp, M. Pineda-Sanchez, and 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 23 7 2009 2336 2351
108. M.A. Awadallah, and M.M. Morcos Application of AI tools in fault diagnosis of electrical machines and drives-an overview IEEE Transactions on Energy Conversion 18 2 2003 245 251
109. S.M.A. Cruz, and A.J.M. Cardoso Rotor cage fault diagnosis in three-phase induction motors by extended Parks vector approach Electric Power Components and Systems 28 4 2000 289 299
110. J.W. Zhang, N.H. Zhu, L. Yang, Q. Yao, Q. LU, and A. Fault Diagnosis approach for broken rotor bars based on EMD and envelope analysis Journal of China University of Mining and Technology 17 2 2007 205 209
111. S.M.A. Cruz, A.J.M. Cardoso, Discriminating between rotor asymmetries and time-varying loads in three-phase induction motors, in: Proceedings of the International Congress Condition Monitoring Diagnostic Engineering Manage, 2001, pp. 319327.
112. A.J.M. Cardoso, E.S. Saraiva, On-line diagnostics of three-phase induction motors by Parks vector, in: Proceedings of the ICEM, Vol. 3, Pisa, 1988, pp. 231234.
113. A.J.M. Cardoso, S.M.A. Cruz, J.F.S. Carvalho, E.S. Saraiva, Rotor cage fault diagnosis in three-phase induction motors by Parks vector approach, in: Proceedings of the Conference IEEE IAS, 1995, pp. 642646.
114. M. Haji, and H.A. Toliyat Pattern recognition - A technique for induction machines rotor broken bar detection IEEE Transactions Energy Conversion 16 4 2001 312 317 (Pubitemid 34035503)
115. Z. Liu, X. Zhang, X. Yin, Z. Zhang, Rotor cage fault diagnosis in induction motors based on spectral analysis of current Hilbert modulus, in: Proceedings of the IEEE Power Engineering Society General Meeting, 2004, pp.15001503. (Pubitemid 40196938)
116. H. Cals, and A. Cakr Rotor bar fault diagnosis in three phase induction motors by monitoring fluctuations of motor current zero crossing instants Electrical Power System Research 77 56 2007 385 392
117. H. Cals, and A. Cakr Experimental study for sensorless broken bar detection in induction motors Energy Conversion and Management 49 4 2008 854 862
118. A.M. Silva, R.J. Povinelli, and N.A.O. Demerdash Induction machine broken bar and stator short-circuit fault diagnostics based on three-phase stator current envelopes IEEE Transactions on Industrial Electronics 55 3 2008 1310 1318 (Pubitemid 351447572)
119. I. Jaksch, Faults diagnosis of three - phase induction motors using envelope analysis, in: Proceedings of the Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, 2003.
120. S. Hedayati Kia, H. Henao, and G.A. Capolino Diagnosis of broken-bar fault in induction machines using discrete wavelet transform without slip estimation IEEE Transactions on Industry Applications 45 4 2009 1395 1404
121. R. Supangat, N. Ertugrul, L. Soong, D. Gray, C. Hansen, J. Grieger, Broken rotor bar fault detection in induction motors using starting current analysis, in: Proceedings of the European Conference on Power Electronics and Application, Dresden, Germany, 2005.
122. O.V. Thorsen, and M. Dalva Failure identification and analysis for high-voltage induction motor in the petrochemical industry IEEE Transactions on Industry Applications 14 1 1999 810 818
123. N.M. Elkasabgy, A.R. Eastham, and G.E. Dawson Detection of broken bars in the cage rotor on an induction machine IEEE Transactions on Industry Applications 28 1 1992 165 171
124. H. Henao, C. Demian, G.A. Capolino, and A. Frequency-Domain Detection of stator winding faults in induction machines using an external flux sensor IEEE Transactions on Industry Applications 39 5 2003 1272 1279
125. A. Yazidi, H. Henao, G.A. Capolino, Broken Rotor Bars Fault Detection in squirrel cage induction machines, in: Proceedings of the IEEE International Conference on Electric Machines and Drives, 2005, pp. 741747. (Pubitemid 44461389)
126. K. Bacha, H. Henaob, M. Gossa, and G.A. Capolino Induction machine fault detection using stray flux EMF measurement and neural network-based decision Electric Power Systems Research 78 7 2007 1247 1255
127. R. Maier Protection of squirrel-cage induction motor utilizing instantaneous power and phase information IEEE Transactions on Industry Applications 28 1992 376 380
128. J. Penman, H.G. Sedding, B.A. Lloyd, and W.T. Fink Detection and location of interturn short circuits in the stator windings of operating motors IEEE Transactions on Energy Conversion 9 4 1994 652 658
129. W.T. Thomson, D. Rankin, D.G. Dorrell, On-line current monitoring to diagnose airgap eccentricity - an industrial case history of a large high-voltage three-phase induction motors, in: Proceedings of the Electric Machines and Drives Conference Record, 1997, pp. 2/4.12/4.3.
130. W.T. Thomson, and A. Barbour On-line current monitoring and application of a finite element methode to predict the level of static airgap eccentricity in three-phase induction motors IEEE Transactions on Energy Conversion 13 4 1998 347 357
131. W.T. Thomson, D. Rankin, and D.G. Dorrell On-line current monitoring to diagnose airgap eccentricity in large three-phase induction motors-industrial case histories verify the predictions IEEE Transactions on Energy Conversion 14 4 1999 1372 1378 (Pubitemid 30540951)
132. H.A. Toliyat, M.S. Arefeen, and A.G. Parlos A method for dynamic simulation of air-gap eccentricity in induction machines IEEE Transactions on Industry Applications 32 4 1996 910 918 (Pubitemid 126773869)
133. P. Bikfalvi, M. Imecs, Rotor fault detection in induction machines: Methods and techniques - State-of-the-Art, in: Proceedings of the IEEE International Conference on Automation, Quality and Testing, Robotics, 2006, pp. 199204.
134. J. Milimonfared, H.M. Kelk, S. Nandi, A. Der Minassians, and H.A. Toliyat A novel approach for broken-rotor-bar detection in cage induction motors IEEE Transactions on Industry Applications 35 5 1999 1000 1006 (Pubitemid 32262073)
135. R. Supangat, J. Grieger, N. Ertugrul, W.L. Soong, D.A. Gray, C. Hansen, Detection of broken rotor bar faults and effects of loading in induction motors during rundown, in: Proceedings of the IEEE International Electric Machines and Drives Conference, 2007, pp. 196201. (Pubitemid 47553869)
136. F. Cupertino, E. Vanna, L. Salvatore, and S. Stasi Analysis techniques for detection of IM broken rotor bar after supply disconnection IEEE Transactions on Industry Applications 40 2 2004 526 533
137. M. Feldman, and S. Seibold Damage diagnosis of rotors: Application of Hilbert transform and multihypothesis testing Journal of Vibration and Control 5 3 1999 421 442 (Pubitemid 129650632)
138. A.B. Sasi, B. Payne, F. Gu, A.D. Ball, The exploitation of instantaneous angular speed for condition monitoring of electric motors, in: Proceedings of the 4th International Congress, Condition Monitoring and Diagnosis Engineering Management Manchester, 2001, pp. 31118.
139. A.B. Sasi, B. Payne, A. York, F. Gu, F.A.D. Ball, Condition monitoring of electric motors using instantaneous angular speed, in: Presented at the Maintenance and Reliability Conference (MARCON), Gatlinburg, TN, 2001.
140. A.B. Sasi, P. Soobramaney, F. Gu,A.D. Ball, Diesel engine condition monitoring using instantaneous angular speed extracted from the alternator voltage output, in: Proceedings of the International Conference on Condition Monitoring, Oxford, UK, 2003, pp. 408-422.
141. P.J. Sweeney, R.B. Randall, Sources of gear signal modulation, in: Proceedings of the Institution of Mechanical Engineers, 1995, pp. 183198.
142. F. Gu, I. Yesilyurt, Y. Li, G. Harris, and A. Ball An investigation of the effects of measurement noise in the use of instantaneous angular speed for machine diagnosis Mechanical Systems and Signal Processing 20 6 2006 1444 1460
143. S.F. Legowski, A.H.M.S. Ula, and A.M. Trzynadlowski Instantaneous power as a medium for the signature analysis of induction motors IEEE Transactions on Industry Applications 32 4 1996 904 909 (Pubitemid 126773868)
144. Z. Liu, X. Yin, Z. Zhang, D. Chen, W. Chen, and Online Rotor Mixed Fault Diagnosis way based on spectrum analysis of instantaneous power in squirrel cage induction motors IEEE Transactions on Energy Conversion 19 3 2004 485 490
145. S.M.A. Cruz, A.J.M. Cardoso, Rotor cage fault diagnosis in three-phase induction motors by the total instantaneous power spectral analysis, in: Proceedings of the Conference Rec. 34th IAS Annu. Meeting, 1999, pp. 19291934. (Pubitemid 30544029)
146. M. Eltabach, A. Chahata, and I. Zein A comparison of external and internal methods of signal spectral analysis for broken rotor bars detection in induction motors IEEE Transactions on Industrial Electronics 51 1 2004 107 121
147. G. Didier, H. Razik, A. Rezzoug, On the experiment detection of incipient rotor fault of an induction motor, in: Proceedings of the IEEE International Electric Machines and Drives Conference, Vol. 2, 2003, pp. 913916.
148. G. Didier, H. Razik, O. Caspary, E. Ternisien, Rotor Cage Fault Detection in Induction Motor using global modulation index on the Instantaneous Power Spectrum, in: Proceedings of the Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, 2003, pp. 104109.
149. G. Didier, E. Ternisien, O. Caspary, and H. Razik Fault detection of broken rotor bars in induction motor using a global fault index IEEE Transactions on Industry Applications 42 1 2006 79 88 (Pubitemid 43204770)
150. B. Lu, M. Paghda, Induction motor rotor fault diagnosis using wavelet analysis of one-cycle average power, in: Proceedings of the IEEE Applied Power Electronics Conference and Exposition, 2008, pp. 11131118.
151. M. Drif, A.J.M. Cardoso, Rotor cage fault diagnostics in three-phase
152. M. Drif, and A.J.M. Cardoso The use of the instantaneous-reactive-power signature analysis for rotor-cage-fault diagnostics in three-phase induction motors IEEE Transactions on Industrial Electronics 56 11 2009 4606 4614
153. C.H. De Angelo, G.R. Bossio, and G.O. Garcia Discriminating broken rotor bar from oscillating load effects using the instantaneous active and reactive powers IET Electric Power Applications 4 4 2010 281 290
154. H.W. Penrose, and J. Jette Static motor circuit analysis: An introduction to theory and application IEEE Electrical Insulation Magazine 16 4 2000 6 10
155. H.W. Penrose, Evaluation of electric motor condition using motor circuit analysis, in: Proceedings of the Conference Insulation Electrical Manufacturing Coil Winding, 2001, pp. 335340. (Pubitemid 33120407)
156. H.W. Penrose Motor circuit analysis standards MCA Newsletter 2002
157. H.W. Penrose, Estimating motor life using motor circuit analysis predictive measurements, in: Proceedings of the Electrical Insulation Conference and Electrical Manufacturing & Coil Winding Technology Conference, 2003, pp. 451454.
158. H.W. Penrose, Estimating motor life using motor circuit analysis predictive measurements: Part 2, in: Proceedings of the IEEE International Symposium on Electrical Insulation, Indianapolis, USA, 2004, pp. 1517. (Pubitemid 40339196)
159. O.V. Thorsen, and M. Dalva A survey of faults on induction motors in offshore oil industry, petrochemical industry, gas terminals, and oil refineries IEEE Transactions on Industry Applications 31 5 1995 1186 1196
160. J.L. Kohler, J. Sottile, F.C. Trutt, Condition-based maintenance of electric machines, in: Proceedings of the IEEE Industrial Applications Conference, 1999, pp. 205211.
161. X. Huang, T.G. Habetler, R.G. Harley, and E.J. Wiedenbrug Using a surge tester to detect rotor eccentricity faults in induction motors IEEE Transactions on Industry Applications 43 5 2007 1183 1190 (Pubitemid 47570218)
162. C. Kral, T.G. Habetler, R.G. Harley, F. Pirker, G. Pascoli, H. Oberguggenberger, C.J.M. Fenz, A comparison of rotor fault detection techniques with respect to the assessment of fault severity, in: Proceeding of the Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, Atlanta, GA, USA, 2003, pp. 2426.
163. P.J. Tavner, B.G. Gaydon, D.M. Ward, Monitoring generators and large motors, in: Proceedings of the IEE Electric Power Applications, 1986, pp. 169180.
164. N. Mehla, and R. Dahiya An approach of condition monitoring of induction motor using MCSA, International journal of systems applications Engineering & Development 1 1 2007
165. C. Wang, R.X. Gao, Sensor placement strategy for in-situ bearing defect detection, in: Proceedings of the 17th IEEE Instrumentation and Measurement Technology ConferenceIMTC, Vol. 3, Baltimore-MD, USA, 2000, pp. 14631467.
166. F.C. Trutt, J. Sottile, J.L. Kohler, Condition monitoring of induction motor stator windings using electrically excited vibrations, in: Proceedings of the IEEE Industry Applications Society Conference, The 37th IAS Annual Meeting, 2002, pp. 23012305. (Pubitemid 35413729)
167. P. McCully, C. Landy, Evaluation of current vibration signals for squirrel cage induction motors condition monitoring, in: Proceedings of the Eighth International IEE Conference on Electrical Machines and fives, 1997, pp. 331355.
168. M. Timusk, M. Lipsett, and C.K. Mechefske Fault detection using transient machine signals Mechanical Systems and Signal Processing 22 7 2008 1724 1749
169. B. Liang, S.D. Iwnicki, and A.D. BALL Asymmetrical stator and rotor faulty detection using vibration, phase current and transient speed analysis Mechanical Systems and Signal Processing 17 4 2003 857 869
170. H. Razik, G. Didier, A novel method of induction motor diagnosis using the line-neutral voltage, in: Proceedings of the EPE-PEMC, Riga, Latvia, 2004.
171. M.E.K. Oumaamar, F. Babaa, A. Khezzar, M. Boucherma, Diagnostics of broken rotor bars in induction machines using the neutral voltage, in: Proceedings of the ICEM2006 Conference. Chania. Greece, pp. 2006.
172. F. Babaa, M.E.K. Oumaamar, A. Khezzar, M. Boucherma, Multiple coupled circuit modeling of squirrel cage induction motors including space harmonics and line neutral voltage, in: Proceedings of the ICEM 2006 Conference. Chania. Greece, pp. 2006.
173. M.E.K. Oumaamar, A. Khezzar, M. Boucherma, H. Razik, R. Andriamalala, L. Baghli, Neutral voltage analysis for broken rotor bars detection in induction motors using Hilbert transform phase, in: Proceedings of the Industry Applications Conference, pp. 2007.
174. A. Khezzar, M.E.K. Oumaamar, M. Hadjami, M. Boucherma, and H. Razik Induction motor diagnosis using line neutral voltage signatures IEEE Transactions on Industry Applications 56 11 2009 4581 4591
175. J. Rangel-Magdaleno, R. Romero-Troncoso, R.A. Osornio-Rios, E. Cabal-Yepez, and L.M. Contreras-Medina Novel methodology for online half-broken-bar detection on induction motors IEEE Transactions on Instrumentation and Measurement 58 5 2009 1690 1698
176. B.S. Yang, and K.J. Kim Application of DempsterShafer theory in fault diagnosis of induction motors using vibration and current signals Mechanical Systems and Signal Processing 20 2 2006 403 420 (Pubitemid 41606177)
177. A. Widodo, B.S. Yang, and T. Han Combination of independent component analysis and support vector machines for intelligent faults diagnosis of induction motors Expert Systems with Applications 32 2 2007 299 312 (Pubitemid 44647799)
178. A. Widodo, and B.S. Yang Application of nonlinear feature extraction and support vector machines for fault diagnosis of induction motors Expert Systems with Applications 33 1 2007 241 250 (Pubitemid 44959934)
179. G. Niu, T. Han, B.S. Yang, and A.C. Chiow Tan Multi-agent decision fusion for motor fault diagnosis Mechanical Systems and Signal Processing 21 3 2007 1285 1299 (Pubitemid 44909384)
180. T. Han, B.S. Yang, and Z.J. Yin Feature-based fault diagnosis system of induction motors using vibration signal Journal of Quality in Maintenance Engineering 13 2 2007 163 175 (Pubitemid 46828647)
181. V.T. Tran, B.S. Yang, M.S. Oh, and A.C.C. Tan Fault diagnosis of induction motor based on decision trees and adaptive neuro-fuzzy inference Expert Systems with Applications 36 2 2009 1840 1849
182. B. Ayhan, J. Trussell, M.Y. Chow, and M.H. Song On the use of alLower sampling rate for broken rotor bar detection with DTFT and AR-based spectrum methods IEEE Transactions on Industrial Electronics 55 3 2008 1421 1434 (Pubitemid 351447583)
183. W.B. Collis, P.R. White, and J.K. Hammond Higher order spectra: The bispectrum and trispectrum Mechanical Systems and Signal Processing 12 3 1998 375 395
184. M.E.H. Benbouzid, and G.B. Kliman What stator current processing-based technique to use for induction motor rotor faults diagnosis IEEE Transactions on Energy Conversion 18 2 2003 238 244
185. S.L. Marple Digital Spectral Analysis with Applications 1989 Prentice Hall Englewood Cliffs, NJ
186. G. King, M. Tarbouchi, D. McGaughey, Current signature analysis of induction machine rotor faults using the fast orthogonal search algorithm, in: Proceedings of the Fifth IET International Conference on Power Electronics, Machines and Drives, 2010, pp 15.
187. G. King, M. Tarbouchi, D. McGaughey, Rotor fault detection in induction motors using the fast orthogonal search algorithm, in: Proceedings of the IEEE International Symposium on Industrial Electronics, 2010, pp 26212625.
188. S. Hedayati Kia, H. Henao, G.A. Capolino, and A. High-Resolution Frequency estimation method for three-phase induction machine fault detection IEEE Transactions on Industrial Electronics 54 4 2007 2305 2314 (Pubitemid 47296521)
189. A.K.S. Jardine, D. Lin, and D. Banjevic A review on machinery diagnostics and prognostics implementing condition-based maintenance Mechanical Systems and Signal Processing 20 7 2006 1483 1510
190. I. Daubechies The wavelet transform, time-frequency localization and signal analysis IEEE Transactions on Information Theory 36 5 1990 961 1005 (Pubitemid 20738359)
191. E. Sejdic, I. Djurovic, and J. Jiang Time-frequency feature representation using energy concentration: An overview of recent advances Digital Signal Processing 19 1 2009 153 183
192. Z.K. Peng, and F.L. Chu Application of the wavelet transform in machine condition monitoring and fault diagnostics: A review with bibliography Mechanical Systems and Signal Processing 18 2 2004 199 221
193. S. Hedayati Kia, H. Henao, G.A. Capolino, Digital signal processing for induction machines diagnosis - A Review, in: Proceedings of the 33rd Annual Conference of the IEEE Industrial Electronics Society, 2007, pp. 11551162.