DISCRETE WAVELET ANALYSIS FOR STATOR INTER-TURN SHORT CIRCUIT FAULTS DETECTION IN INDUCTION MACHINE
DOI:
https://doi.org/10.4314/jfas.v12i1.9Keywords:
Induction Machine; Fault diagnostic; Stator Inter-Turn Short Circuit; Discrete Wavelet Transform; Start-up state; Steady state.Abstract
The induction motors are not always operating under complete steady state conditions, therefore prompting the development of non-stationary techniques for fault detection. In this paper an inter-turn short circuit fault is considered in the stator winding. The technique for diagnosis in transient state, especially in startup state is based from using the wavelet transform (DWT). The signal used for the fault detection is the stator current. The experimental results show that using (DWT) can effectively be used to diagnose this type of the fault in the motor.
Downloads
Download data is not yet available.
References
[1] Bulent, A, Mo-Yuen, C, Myung-Hyun S. ″Monolith and partition schemes with LDA and Neural networks as detector units for induction motor broken rotor bar fault detection″, KIEE International Transactions on Electrical Machinery and energy conversion systems., 2005, 5(2), 103-110.
[2] Ayhan, B, Trussell, H. J, Chow, Mo-Yuen, Song, Myung-Hyun, ″On the use of a lower sampling rate for broken rotor bar detection with DTFT and AR-based spectrum methods″, IEEE Trans. Industrial Electronics, 2008, 55(3), 1421-1434.
[3] Bachir, S, Tnani, S, Trigeassou, J.-C, Champenois, G. ″Diagnosis by parameter estimation of stator and rotor faults occurring in induction machines″, IEEE Trans. Industrial Electronics. 53(3), 963–973 (2006)
[4] Subrata, K. Surajit, C. Madhuchhanda, M. Samarjit, S, ″Induction motor fault diagnosis″, Power Systems, DOI 10.1007/978-981-10-0624-1.
[5] O. V. Thursen et al, ″A survey of faults on induction motors in offshore oil industry, petrochemical industry, gas terminals, and oil refineries″, IEEE Trans. Industry Applications, 1995, 31(5), 1186-1196.
[6] Bellini, A, Filippetti, F, Tassoni, C, Capolino, G.-A, ″Advances in diagnostic techniques for induction machines″, IEEE Trans. Industrial Electronics, 2008, 55(12), 4109-4125.
[7] D. A Silva, A. M, Povinelli, R. J, Demerdash, N. A. O, ″Induction machine broken bar and stator short-circuit fault diagnostics based on three-phase stator current envelopes″, IEEE Trans. Industrial Electronics, 2008, 55(3), 1310–1318.
[8] Bossio, G. R, De Angelo, C. H, Bossio, J. M, Pezzani, C. M, García, G.O, ″Separating broken rotor bars and load oscillations on im fault diagnosis through the instantaneous active and reactive currents. IEEE Trans. Industrial Electronics, 2009, 56(11), 4571–4580.
[9] Neti, P, Nandi, S, ″An improved strategy to detect stator inter-turn faults in reluctance synchronous machines using both negative sequence quantities and stored magnetic energy after supply disconnection″, IEEE Industry Applications Conference, 2007, 2234–2241.
[10] Teotrakool, K, Devaney, M.J, Eren, L, ″Adjustable speed drive bearing fault detection via wavelet packet decomposition″, IEEE Trans. on Instru. and Meas., 2009, 58(8), 2747-2754.
[11] Cusido, J, Romeral, L, Ortega, J.A, Rosero, J.A, Garcia Espinosa, A, ″Fault detection in induction machines using power spectral density in wavelet decomposition″, IEEE Trans. on Industrial Electronics, 2008, 55(2), 633–643.
[12] Bouzida, A, Touhami, O, Ibtiouen, R, Belouchrani, A, Fadel, M, Rezzoug, A, ″Fault diagnosis in industrial induction machines through discrete wavelet transform″, IEEE Trans. Industrial Electronics, 2011, 58, 4385-4395.
[13] Antonio-Daviu, J.A, Riera-Guasp, M. J, Floch, R, Palomares, M.P.M, ″Validation of a new method for the diagnosis of rotor bar failures via wavelet transform in industrial induction machines″, IEEE Trans. on Industry Applications, 2006, 42, 990–996.
[14] J. Cusido; L. Romeral; A. Garcia; J.A. Rosero; J.A. Ortega, ″Fault detection in induction machines by using continuous and discrete wavelet decomposition″, European Conf. on Power Electronics and Applications, 2007, doi: 10.1109/EPE.2007.4417512.
[15] Ordaz-Moreno, A, Romero-Troncoso, R.J, Vite-Frias, J.A, Rivera-Gillen, J.R, Garcia-Perez, A, ″Automatic online diagnosis algorithm for broken-bar detection on induction motors based on discrete wavelet transform for FPGA implementation. IEEE Trans. Industrial Electronics, 2008, 55(5), 2193-2202.
[16] A. Menacer, R. Kechida, G. Champenois, S. Tnani, S, ″Application of the Fourier and the wavelet transform for the fault detection in induction motors at the startup electromagnetic torque. IEEE Inter. Symp. On Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED (2011), 664-668.
[17] R. Kechida, A. Menacer, H. Talhaoui, ″Approach Signal for Rotor Fault Detection in Induction Motors. Journal of Failure Analysis and Prevention, 2013, 13(2), 119-240, doi: 10.1007/s11668-013-9681-6
[18] H. Talhaoui, Menacer.A, Ammar. A, R. Kechida, ″Fast Fourier and discrete wavelet transforms applied to sensorless vector control induction motor for rotor bar faults diagnosis″, ISA Transactions, 2014, 53(5), 1639–1649.
[19] Guillermo A. JiménezAlfredo O. MuñozManuel A. Duarte-Mermoud, ″Fault detection in induction motors using Hilbert and Wavelet transforms. Elecrical Engineering, 2007, 89(3), 205–220.
[20] Dash, R.N, Subudhi, B, Das, S, ″Induction motor stator inter-turn fault detection using wavelet transforms technique″, Int. Conf. on Industrial and Information Systems, 2010, 436-441.
[21] Tong Liu, Jin Huang, "A Novel Method for Induction Motors Stator Inter-turn Short Circuit Fault Diagnosis by Wavelet Packet Analysis," International Conference on Electrical Machines and Systems, 2005, 2254-2258.
[22] Riera-Guasp, M, Antonino-Daviu, J, ″Roger-Folch, J, Molina, M. P, ″The use of the wavelet approximation signal as a tool for the diagnosis and quantification of rotor bar failures″, IEEE Trans. on Industry Applications, 2008, 44(3), 716–726.
[2] Ayhan, B, Trussell, H. J, Chow, Mo-Yuen, Song, Myung-Hyun, ″On the use of a lower sampling rate for broken rotor bar detection with DTFT and AR-based spectrum methods″, IEEE Trans. Industrial Electronics, 2008, 55(3), 1421-1434.
[3] Bachir, S, Tnani, S, Trigeassou, J.-C, Champenois, G. ″Diagnosis by parameter estimation of stator and rotor faults occurring in induction machines″, IEEE Trans. Industrial Electronics. 53(3), 963–973 (2006)
[4] Subrata, K. Surajit, C. Madhuchhanda, M. Samarjit, S, ″Induction motor fault diagnosis″, Power Systems, DOI 10.1007/978-981-10-0624-1.
[5] O. V. Thursen et al, ″A survey of faults on induction motors in offshore oil industry, petrochemical industry, gas terminals, and oil refineries″, IEEE Trans. Industry Applications, 1995, 31(5), 1186-1196.
[6] Bellini, A, Filippetti, F, Tassoni, C, Capolino, G.-A, ″Advances in diagnostic techniques for induction machines″, IEEE Trans. Industrial Electronics, 2008, 55(12), 4109-4125.
[7] D. A Silva, A. M, Povinelli, R. J, Demerdash, N. A. O, ″Induction machine broken bar and stator short-circuit fault diagnostics based on three-phase stator current envelopes″, IEEE Trans. Industrial Electronics, 2008, 55(3), 1310–1318.
[8] Bossio, G. R, De Angelo, C. H, Bossio, J. M, Pezzani, C. M, García, G.O, ″Separating broken rotor bars and load oscillations on im fault diagnosis through the instantaneous active and reactive currents. IEEE Trans. Industrial Electronics, 2009, 56(11), 4571–4580.
[9] Neti, P, Nandi, S, ″An improved strategy to detect stator inter-turn faults in reluctance synchronous machines using both negative sequence quantities and stored magnetic energy after supply disconnection″, IEEE Industry Applications Conference, 2007, 2234–2241.
[10] Teotrakool, K, Devaney, M.J, Eren, L, ″Adjustable speed drive bearing fault detection via wavelet packet decomposition″, IEEE Trans. on Instru. and Meas., 2009, 58(8), 2747-2754.
[11] Cusido, J, Romeral, L, Ortega, J.A, Rosero, J.A, Garcia Espinosa, A, ″Fault detection in induction machines using power spectral density in wavelet decomposition″, IEEE Trans. on Industrial Electronics, 2008, 55(2), 633–643.
[12] Bouzida, A, Touhami, O, Ibtiouen, R, Belouchrani, A, Fadel, M, Rezzoug, A, ″Fault diagnosis in industrial induction machines through discrete wavelet transform″, IEEE Trans. Industrial Electronics, 2011, 58, 4385-4395.
[13] Antonio-Daviu, J.A, Riera-Guasp, M. J, Floch, R, Palomares, M.P.M, ″Validation of a new method for the diagnosis of rotor bar failures via wavelet transform in industrial induction machines″, IEEE Trans. on Industry Applications, 2006, 42, 990–996.
[14] J. Cusido; L. Romeral; A. Garcia; J.A. Rosero; J.A. Ortega, ″Fault detection in induction machines by using continuous and discrete wavelet decomposition″, European Conf. on Power Electronics and Applications, 2007, doi: 10.1109/EPE.2007.4417512.
[15] Ordaz-Moreno, A, Romero-Troncoso, R.J, Vite-Frias, J.A, Rivera-Gillen, J.R, Garcia-Perez, A, ″Automatic online diagnosis algorithm for broken-bar detection on induction motors based on discrete wavelet transform for FPGA implementation. IEEE Trans. Industrial Electronics, 2008, 55(5), 2193-2202.
[16] A. Menacer, R. Kechida, G. Champenois, S. Tnani, S, ″Application of the Fourier and the wavelet transform for the fault detection in induction motors at the startup electromagnetic torque. IEEE Inter. Symp. On Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED (2011), 664-668.
[17] R. Kechida, A. Menacer, H. Talhaoui, ″Approach Signal for Rotor Fault Detection in Induction Motors. Journal of Failure Analysis and Prevention, 2013, 13(2), 119-240, doi: 10.1007/s11668-013-9681-6
[18] H. Talhaoui, Menacer.A, Ammar. A, R. Kechida, ″Fast Fourier and discrete wavelet transforms applied to sensorless vector control induction motor for rotor bar faults diagnosis″, ISA Transactions, 2014, 53(5), 1639–1649.
[19] Guillermo A. JiménezAlfredo O. MuñozManuel A. Duarte-Mermoud, ″Fault detection in induction motors using Hilbert and Wavelet transforms. Elecrical Engineering, 2007, 89(3), 205–220.
[20] Dash, R.N, Subudhi, B, Das, S, ″Induction motor stator inter-turn fault detection using wavelet transforms technique″, Int. Conf. on Industrial and Information Systems, 2010, 436-441.
[21] Tong Liu, Jin Huang, "A Novel Method for Induction Motors Stator Inter-turn Short Circuit Fault Diagnosis by Wavelet Packet Analysis," International Conference on Electrical Machines and Systems, 2005, 2254-2258.
[22] Riera-Guasp, M, Antonino-Daviu, J, ″Roger-Folch, J, Molina, M. P, ″The use of the wavelet approximation signal as a tool for the diagnosis and quantification of rotor bar failures″, IEEE Trans. on Industry Applications, 2008, 44(3), 716–726.
Downloads
Published
2019-12-17
How to Cite
KECHIDA, R.; MENACER, A. DISCRETE WAVELET ANALYSIS FOR STATOR INTER-TURN SHORT CIRCUIT FAULTS DETECTION IN INDUCTION MACHINE. Journal of Fundamental and Applied Sciences, [S. l.], v. 12, n. 1, p. 133–141, 2019. DOI: 10.4314/jfas.v12i1.9. Disponível em: https://jfas.info/index.php/JFAS/article/view/576. Acesso em: 30 jan. 2025.
Issue
Section
Articles
Submissions
