Fault Diagnosis of Rotating Electrical Machines in Transient Regime Using a Single Stator Current's FFT

IEEE Transactions on Instrumentation and Measurement

Volumn 64, Issue 11, 2015, Pages 3137-3146

  Sapena Bañó, Angel ^a   Pineda Sanchez, Manuel ^a   Puche Panadero, Ruben ^a   Martinez Roman, Javier ^a   Matić, Dragan ^b  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

^b UNIVERSITY OF NOVI SAD   (Serbia)

Author keywords

Condition monitoring; discrete wavelet packet transform (DWPT); discrete wavelet transform (DWT); fault diagnosis; Fourier transforms (FTs); harmonic wavelet; signal processing

Indexed keywords

DISCRETE WAVELET TRANSFORMS; ELECTRIC FAULT CURRENTS; ELECTRIC MACHINERY; FAILURE ANALYSIS; FAST FOURIER TRANSFORMS; INDUCTION MOTORS; POWER QUALITY; STATORS; WAVELET TRANSFORMS;

DIAGNOSTIC SYSTEMS; HARMONIC WAVELET; LOW-POWER DEVICES; MUSICAL ANALYSIS; PRACTICAL PROBLEMS; ROTATING ELECTRICAL MACHINES; SAMPLING FREQUENCIES; TRANSIENT REGIME;

FAULT DETECTION;

EID: 84959365232     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2015.2444240     Document Type: Article

References (34)

1. K. Yahia, A. J. Cardoso, A. Ghoggal, and S. E. Zouzou, "Induction motors airgap-eccentricity detection through the discrete wavelet transform of the apparent power signal under non-stationary operating conditions," ISA Trans., vol. 53, no. 2, pp. 603-611, 2014.
2. Y. Gritli, S. B. Lee, F. Filippetti, and L. Zarri, "Advanced diagnosis of outer cage damage in double-squirrel-cage induction motors under time-varying conditions based on wavelet analysis," IEEE Trans. Ind. Appl., vol. 50, no. 3, pp. 1791-1800, May/Jun. 2014.
3. E. G. Strangas, S. Aviyente, and S. S. H. Zaidi, "Time-frequency analysis for efficient fault diagnosis and failure prognosis for interior permanent-magnet AC motors," IEEE Trans. Ind. Electron., vol. 55, no. 12, pp. 4191-4199, Dec. 2008.
4. Y. Yang, W. Zhang, Z. Peng, and G. Meng, "Multicomponent signal analysis based on polynomial chirplet transform," IEEE Trans. Ind. Electron., vol. 60, no. 9, pp. 3948-3956, Sep. 2013.
5. S. Nandi, T. C. Ilamparithi, S. B. Lee, and D. Hyun, "Detection of eccentricity faults in induction machines based on nameplate parameters," IEEE Trans. Ind. Electron., vol. 58, no. 5, pp. 1673-1683, May 2011.
6. M. Riera-Guasp, M. Pineda-Sanchez, J. Perez-Cruz, R. Puche-Panadero, J. Roger-Folch, and J. A. Antonino-Daviu, "Diagnosis of induction motor faults via Gabor analysis of the current in transient regime," IEEE Trans. Instrum. Meas., vol. 61, no. 6, pp. 1583-1596, Jun. 2012.
7. J. Seshadrinath, B. Singh, and B. K. Panigrahi, "Investigation of vibration signatures for multiple fault diagnosis in variable frequency drives using complex wavelets," IEEE Trans. Power Electron., vol. 29, no. 2, pp. 936-945, Feb. 2014.
8. J. Wang, Q. He, and F. Kong, "Adaptive multiscale noise tuning stochastic resonance for health diagnosis of rolling element bearings," IEEE Trans. Instrum. Meas., vol. 64, no. 2, pp. 564-577, Feb. 2015.
9. I. Bediaga, X. Mendizabal, I. Etxaniz, and J. Munoa, "An integrated system for machine tool spindle head ball bearing fault detection and diagnosis," IEEE Instrum. Meas. Mag., vol. 16, no. 2, pp. 42-47, Apr. 2013.
10. Y. Gritli, L. Zarri, C. Rossi, F. Filippetti, G. Capolino, and D. Casadei, "Advanced diagnosis of electrical faults in wound-rotor induction machines," IEEE Trans. Ind. Electron., vol. 60, no. 9, pp. 4012-4024, Sep. 2013.
11. F. Vedreno-Santos, M. Riera-Guasp, H. Henao, M. Pineda-Sanchez, and R. Puche-Panadero, "Diagnosis of rotor and stator asymmetries in wound-rotor induction machines under nonstationary operation through the instantaneous frequency," IEEE Trans. Ind. Electron., vol. 61, no. 9, pp. 4947-4959, Sep. 2014.
12. M. S. Manikandan, S. R. Samantaray, and I. Kamwa, "Detection and classification of power quality disturbances using sparse signal decomposition on hybrid dictionaries," IEEE Trans. Instrum. Meas., vol. 64, no. 1, pp. 27-38, Jan. 2015.
13. W. Li, A. Monti, and F. Ponci, "Fault detection and classification in medium voltage DC shipboard power systems with wavelets and artificial neural networks," IEEE Trans. Instrum. Meas., vol. 63, no. 11, pp. 2651-2665, Nov. 2014.
14. J. Barros, R. I. Diego, and M. de Apraz, "A discussion of new requirements for measurement of harmonic distortion in modern power supply systems," IEEE Trans. Instrum. Meas., vol. 62, no. 8, pp. 2129-2139, Aug. 2013.
15. F. B. Costa, "Fault-induced transient detection based on real-time analysis of the wavelet coefficient energy," IEEE Trans. Power Del., vol. 29, no. 1, pp. 140-153, Feb. 2014.
16. S. K. Jain and S. N. Singh, "Fast harmonic estimation of stationary and time-varying signals using EA-AWNN," IEEE Trans. Instrum. Meas., vol. 62, no. 2, pp. 335-343, Feb. 2013.
17. L. S. Rosado, F. M. Janeiro, P. M. Ramos, and M. Piedade, "Defect characterization with eddy current testing using nonlinear-regression feature extraction and artificial neural networks," IEEE Trans. Instrum. Meas., vol. 62, no. 5, pp. 1207-1214, May 2013.
18. H. Z. Hosseinabadi, B. Nazari, R. Amirfattahi, H. R. Mirdamadi, and A. R. Sadri, "Wavelet network approach for structural damage identification using guided ultrasonic waves," IEEE Trans. Instrum. Meas., vol. 63, no. 7, pp. 1680-1692, Jul. 2014.
19. D. Sun et al., "On-line nonintrusive detection of wood pellets in pneumatic conveying pipelines using vibration and acoustic sensors," IEEE Trans. Instrum. Meas., vol. 63, no. 5, pp. 993-1001, May 2014.
20. K. Luo, J. Li, and J. Wu, "A dynamic compression scheme for energyefficient real-time wireless electrocardiogram biosensors," IEEE Trans. Instrum. Meas., vol. 63, no. 9, pp. 2160-2169, Sep. 2014.
21. P. Saha, S. Ghorai, B. Tudu, R. Bandyopadhyay, and N. Bhattacharyya, "A novel technique of black tea quality prediction using electronic tongue signals," IEEE Trans. Instrum. Meas., vol. 63, no. 10, pp. 2472-2479, Oct. 2014.
22. A. Ordaz-Moreno, R. de Jesus Romero-Troncoso, J. A. Vite-Frias, J. R. Rivera-Gillen, and A. Garcia-Perez, "Automatic online diagnosis algorithm for broken-bar detection on induction motors based on discrete wavelet transform for FPGA implementation," IEEE Trans. Ind. Electron., vol. 55, no. 5, pp. 2193-2202, May 2008.
23. A. Bouzida, O. Touhami, R. Ibtiouen, A. Belouchrani, M. Fadel, and A. Rezzoug, "Fault diagnosis in industrial induction machines through discrete wavelet transform," IEEE Trans. Ind. Electron., vol. 58, no. 9, pp. 4385-4395, Sep. 2011.
24. M. Pineda-Sanchez, M. Riera-Guasp, J. Roger-Folch, J. A. Antonino-Daviu, J. A. Perez-Cruz, and R. Puche-Panadero, "Diagnosis of induction motor faults in time-varying conditions using the polynomial-phase transform of the current," IEEE Trans. Ind. Electron., vol. 58, no. 4, pp. 1428-1439, Apr. 2011.
25. K. L. V. Iyer, X. Lu, Y. Usama, V. Ramakrishnan, and N. C. Kar, "A twofold Daubechies-wavelet-based module for fault detection and voltage regulation in SEIGs for distributed wind power generation," IEEE Trans. Ind. Electron., vol. 60, no. 4, pp. 1638-1651, Apr. 2013.
26. M. Riera-Guasp, J. A. Antonino-Daviu, M. Pineda-Sanchez, R. Puche-Panadero, and J. Perez-Cruz, "A general approach for the transient detection of slip-dependent fault components based on the discrete wavelet transform," IEEE Trans. Ind. Electron., vol. 55, no. 12, pp. 4167-4180, Dec. 2008.
27. D. E. Newland, "Harmonic wavelet analysis," Proc. Roy. Soc. London A, Math. Phys. Sci., vol. 443, no. 1917, pp. 203-225, 1993.
28. D. E. Newland, "Harmonic wavelets in vibrations and acoustics," Philosoph. Trans. Roy. Soc. London A, Math. Phys. Eng. Sci., vol. 357, no. 1760, pp. 2607-2625, 1999.
29. D. E. Newland, "Ridge and phase identification in the frequency analysis of transient signals by harmonic wavelets," J. Vibrat. Acoust., vol. 121, no. 2, pp. 149-155, 1999.
30. D. E. Newland, "Time-frequency and time-scale signal analysis by harmonic wavelets," in Signal Analysis and Prediction (Applied and Numerical Harmonic Analysis), A. Procházka, J. Uhlíř, P. W. J. Rayner, and N. G. Kingsbury, Eds. Boston, MA, USA: Birkhäuser, 1998, pp. 3-26.
31. P. Shi, Z. Chen, and Y. Vagapov, "Wavelet transform based broken rotor-bar fault detection and diagnosis performance evaluations," Int. J. Comput. Appl., vol. 69, no. 14, pp. 36-43, 2013.
32. S. Hou, Y. Li, and Z. Wang, "A resonance demodulation method based on harmonic wavelet transform for rolling bearing fault diagnosis," Struct. Health Monitor., vol. 9, no. 4, pp. 297-308, 2010.
33. J. Gilles, G. Tran, and S. Osher, "2D empirical transforms. Wavelets, ridgelets, and curvelets revisited," SIAM J. Imag. Sci., vol. 7, no. 1, pp. 157-186, 2014.
34. M. Pineda-Sanchez, M. Riera-Guasp, J. A. Antonino-Daviu, J. Roger-Folch, J. Perez-Cruz, and R. Puche-Panadero, "Instantaneous frequency of the left sideband harmonic during the start-up transient: A new method for diagnosis of broken bars," IEEE Trans. Ind. Electron., vol. 56, no. 11, pp. 4557-4570, Nov. 2009.