A Novel Method for Partial Demagnetization Fault Detection in PMSMs

Öz

It is generally very important to detect partial demagnetization faults at the beginning stage for Permanent Magnet Synchronous Motors (PMSMs) which are generally operated under nonstationary conditions in industrial applications. In this study, a new method based on Gabor Order Tracking (GOT) has been presented which tracks the orders that are characteristic of the fault in motor current at nonstationary operating speeds for the detection of partial demagnetization fault. The amplitude changes of the envelope signal obtained from the order components were used as fault indicators. The results obtained from the experimental study indicate that the suggested method successfully detects the partial demagnetization fault under different speed and load conditions. The main innovative parts of this study are that GOT method was implemented on the motor current signal for the first time.

Anahtar Kelimeler

• Demagnetization,Fault detection,Gabor order tracking,Nonstationary

A Novel Method for Partial Demagnetization Fault Detection in PMSMs

Öz

Endüstriyel uygulamalarda genellikle durağan olmayan çalışma şartlarında çalıştırılan Sabit Mıknatıslı Senkron Motorlar (SMSM) için kısmi demagnetizasyon arızasının başlangıç aşamasında tespiti oldukça önemlidir. Sunulan çalışmada kısmi demagnetizasyon arızasının tespiti için durağan olmayan çalışma hızlarında motor akımında arızaya ait karakteristik mertebeleri Gabor Order Tracking (GOT) tabanlı izleyen yeni bir yöntem sunulmuştur. Arızaya ait karakteristik mertebe bileşenlerinden elde edilen zarf sinyalinin genlik değişimleri arıza göstergesi olarak kullanılmıştır. Deneysel çalışmada elde edilen sonuçlar önerilen yöntemin kısmi demagnetizasyon arızasını değişik hız ve yük şartlarında başarılı şekilde tespit ettiğini göstermektedir. Bu çalışmanın temel yenilikçi kısmı, motor akım sinyaline ilk defa GOT metodunun uygulanmasıdır.

Anahtar Kelimeler

• Demagnetizasyon,Hata teşhisi,Gabor order tracking,Dinamik çalışma

Kaynakça

1. Akar, M. and Eker, M., 2013. Demagnetization fault diagnosis in permanent magnet synchronous motors. Przeglad Elektrotechniczny. 2013 (2a): 229-233.
2. Anonymous, 2016; http://www.ni.com/white-paper/4686/en/
3. Espinosa, A.G., Rosero, J.A., Cusido, J., Romeral, L. and Ortega, J.A., 2010. Fault detection by means of Hilbert–Huang Transform of the stator current in a PMSM with demagnetization. IEEE Transactions Energy Conversions. 25 (2):312–318.
4. Gade, S., Herlufsen, H., Konstantin-Hansen, H. and Wismer, N.J., 1995. Order tracking analysis. Brüel and Kjær Technical Review. 2.
5. Gade, S., Herlufsen, H., Konstantin-Hansen, H. and Vold, H., 1999. Characteristics of the Vold-Kalman order tracking filter. Brüel and Kjær Technical Review. 1.
6. HUR, J., 2008. Characteristic analysis of interior permanent magnet synchronous motor in electrohydraulic power steering systems. IEEE Transactions on Industrial Electronics. 55 (6): 2316–2323.
7. Ishikawa, T., Seki, Y. and Kurita, N., 2013. Analysis for fault detection of vector-controlled permanent magnet synchronous motor with permanent magnet defect. IEEE Transactions on Magnetics. 49 (5): 2331–2334.
8. Jin, Y. and Hao, Z., 2010. An improved flowchart for Gabor Order Tracking with Gaussian Window as the analysis window. EUROSIP Journal on Advances in Signal Processing. 2011 (507215): 1-9.

9. Pan, M.-C. and Wu, C.-X., 2007. Adaptive Vold-Kalman filtering order tracking. Mechanical Systems and Signal Processing. 21 (8): 2957–2969.
10. Prieto, M.D., Espinosa, A.G., Ruiz, J.-R.R., Urresty, J.-C. and Ortega, J.A., 2011. Feature extraction of demagnetization faults in permanent-magnet synchronous motors based on box-counting fractal dimension. IEEE Transactions on Industrial Electronics. 58 (5): 1594–1605.
11. Qian, S., 2003. Gabor expansion for order tracking. Sound and Vibration. 37 (6): 18–22.
12. Ruiz, J.-R.R., Rosero, J.A., Garcia, A., and Romeral, L., 2009. Detection of demagnetization faults in permanent-magnet synchronous motors under nonstationary conditions. IEEE Transactions on Magnetics. 45 (7): 2961– 2969.
13. Roux, W., Harley, R.G. and Habetler, T.G., 2007. Detecting rotor faults in low power permanent magnet synchronous machines. IEEE Transactions on Power Electronics. 22 (1): 322-328.
14. Urresty, J.-C., Riba, J.-R., Delgado, M. and Romeral, L., 2012. Detection of demagnetization faults in surface-mounted permanent magnet synchronous motors by means of the zero-sequence voltage component. IEEE Transactions on Energy Conversion. 27 (1): 42–51.
15. Urresty, J.-C., Riba, J.-R. and Romeral, L., 2013. A back-EMF based method to detect magnet failures in PMSMs. IEEE Transactions on Magnetics. 49 (1): 591–598.
16. Yang, Z., Shi, X. and Krishnamurthy, M., 2014. Vibration monitoring of PM synchronous machine with partial demagnetization and inter-turn short circuit faults. IEEE Transportation Electrification Conference and Expo (ITEC), Dearborn, MI, USA.
17. Wang C., Prieto, M.D., Romeral, L., Chen, Z., Blaabjerg, F. and Liu, X., 2016. Detection of partial demagnetization fault in PMSMs Operating under Nonstationary Conditions. Transactions on Magnetics. PP (99): 1-4.