Abstract
For the weak fault characteristics in the external stray magnetic field when the motor bearing faults, this paper proposes a fault detection method based on Teager–Kaiser energy operator. Firstly, it is theoretically analyzed that the application of the Teager–Kaiser energy operator to the stray magnetic field can not only demodulate the fault characteristic frequency, but also enhance the amplitude of the weak fault characteristic frequency, thereby improving the fault detection capability. Experimental test with artificial bearing defect was conducted by measuring stray magnetic field; the experimental results verify that the proposed method can effectively extract weak fault features in stray magnetic field.
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References
Negrea MD (2006) Electromagnetic flux monitoring for detecting faults in electrical machines. Helsinki University of Technology, Laboratory of Electromechanics, Helsinky, Finland. ISBN 951-22-8477-4 (2010)
Jiang C, Habetler TG (2015) Static eccentricity fault detection of the BLDC motor inside the air handler unit (AHU). In: 2015 IEEE International Electric Machines & Drives Conference (IEMDC), pp 1473–1476
Immovilli F, Bellini A, Rubini R, Tassoni C (2010) Diagnosis of bearing faults in induction machines by vibration or current signals: a critical comparison. IEEE Trans Ind Appl 46(4):1350–1359
Bellini A, Filippetti F, Tassoni C, Capolino GA (2008) Advances in diagnostic techniques for induction machines. IEEE Trans Industry Electron 55(12):4109–4126
Obaid RR, Habetler TG, Stack JR (2003) Stator current analysis for bearing damage detection in induction motors. In: Proceedings of the 4th IEEE International Symposium on Diagnostics for Electric Machines Power Electronics and Drives, pp 182–187
Jiang C, Li S, Habetler TG (2017) A review of condition monitoring of induction motors based on stray flux. In: Energy Conversion Congress and Exposition (ECCE), pp 5424–5430
Vitek O, Janda M, Hajek V, Bauer P (2011) Detection of eccentricity and bearings fault using stray flux monitoring. In: 8th IEEE Symposium on Diagnostics for Electrical Machines Power Electronics & Drives, pp 456–461
Cameron JR, Thomson WT, Dow AB (1986) Vibration and current monitoring for detecting air-gap eccentricity in large induction motors. IEE Proc B Electr Power Appl 133(3):155–163
Schoen RR, Habetler TG, Kamran F, Bartheld RG (1995) Motor bearing damage detection using stator current monitoring. IEEE Trans Ind Appl 31(6):1274–1279
Blodt M, Chabert M, Regnier J, Faucher J (2006) Mechanical load fault detection in induction motors by stator current monitoring. IEEE Trans Ind Appl 42(4):1454–1463
Trajin B, Regnier J, Faucher J (2010) Comparison between vibration and stator current analysis for the detection of bearing faults in asynchronous drives. IET Electr Power Appl 4(2):90–100
Teager H (1980) Some observations on oral air flow during phonation. IEEE Trans Acoust Speech Signal Process 28(5):599–601
Manuel PS, Rubén PP, Martín RG (2013) Application of the Teager–Kaiser energy operator to the fault diagnosis of induction motors. IEEE Trans Energy Convers 28(4):1036–1044
Trajin B, Regnier J, Faucher J (2008) Indicator for bearing fault detection in asynchronous motors using stator current spectral analysis. In: IEEE International Symposium on Industrial Electronics, pp 570–575
Acknowledgements
The research work was supported by National Natural Science Foundation of China under Grant No. 51279020. The support is greatly appreciated.
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Gao, Y., Qiu, C., Xu, C., Xue, Z. (2020). Research on Motor Bearing Fault Detection Method Based on Teager–Kaiser Energy Operator. In: Jia, L., Qin, Y., Liu, B., Liu, Z., Diao, L., An, M. (eds) Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019. EITRT 2019. Lecture Notes in Electrical Engineering, vol 638. Springer, Singapore. https://doi.org/10.1007/978-981-15-2862-0_18
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DOI: https://doi.org/10.1007/978-981-15-2862-0_18
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