Abstract
Uniform demagnetization fault is troublesome, because it can profoundly impact the overall performance of permanent magnet synchronous motors (PMSMs). In this paper, the back electromotive force (Back-EMF) gyration radius method is used to diagnose the uniform demagnetization fault of the PMSM. First, a model of the Back-EMF gyration radius is established, which using time delay embedding (TDE) technology. Second, the Back-EMF gyration radius of PMSM with different operating speeds and different faults is calculated, and the rate of change of the back-EMF gyration radius is taken as the uniform demagnetization fault factor which is used to detect uniform demagnetization fault and fault degree. Finally, the simulation results show that proposed method can achieve PMSM uniform demagnetization fault detection and degree evaluation with a small amount of calculation.
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References
Boazz B, Pellegrino G, Vagati A et al (2014) Multipolar SPM machines for direct-drive ap-plication: a general design approach. IEEE Trans Ind Appl 50(1):327–337
Faiz J, Mazaheri-Tehrani E (2017) Demagnetization modeling and fault diagnosing techniques in permanent magnet machines under stationary and nonstationary conditions: an overview. IEEE Trans Ind Appl 53(3):2772–2785
Li X, Wang S (2017) Demagnetization analysis of the interior permanent magnet synchronous motor under different short circuit faults. J China Coal Soc 42(S2):626–632
Si J, Zhang L, Feng H et al (2017) Analysis of 3-D temperature field for surface-mounted and interior permanent magnet synchronous motor. Electric Mach Control 21(3):25–31
Wei Z, Ma H, Chen C et al (2017) Diagnosis method based on CWT-HHT of demagnetization fault for permanent magnet synchronous motor and analyzing its feasibility. Electric Mach Control 44(8):81–87
Li H, Chen T (2017) The local demagnetization fault diagnosis of PMSM based on fractal dimension. Trans China Electrotech Soc 32(07):1–10
Urresty J, Riba Ruiz J-R, Delgado M et al (2012) Detection of demagnetization faults in surface-mounted permanent magnet synchronous motors by means of the zero-sequence voltage component. IEEE Trans Energy Convers 27(1):42–51
Kim H-K, Kang D-H, Hur J (2015) Fault detection of irreversible demagnetization based on space harmonics according to equivalent magnetizing distribution. IEEE Trans Magn 51(11):1–4
Zhu M, Hu W, Kar NC (2018) Acoustic noise-based uniform permanent-magnet demagnetization detection in SPMSM for high-performance PMSM drive. IEEE Trans Transp Electrif 4(1):1397–1405
Hong J, Hyun D, Lee SB et al (2010) Automated monitoring of magnet synchronous motors at standstill. IEEE Trans Ind Appl 46(4):1397–1405
Hong J, Hyun D, Kang T-J et al (2012) Detection and classification of rotor demagnetization and eccentricity faults for PM synchronous motors. IEEE Trans Ind Appl 48(3):923–931
Da Y, Shi XD (2013) A new approach to fault diagnostics for permanent magnet synchronous machines using electromagnetic signature analysis. IEEE Trans Power Electron 28(8):4014–4112
Nejadi-Koti H, Faiz J, Demerdash NAO (2017) Uniform demagnetization fault diagnosis in permanent magnet synchronous motors by means of cogging torque analysis. In: 2017 IEEE international electric machines and drives conference, pp 1–7
Bangura JF, Povinelli RJ, Demerdash NAO et al (2003) Diagnostics of eccentricities and bar/end-ring connector breakages in poly phase induction motors through a combination of time series data mining and time-stepping coupled FE-state-space techniques. IEEE Trans Ind Appl 39(3):1005–1013
Xiu C, Liu X, Zhang Y (2003) Selection of embedding dimension and delay time in the phase space reconstruction. Trans Beijing Inst Technol 23(2):119–224
Acknowledgments
This work was supported by the Key Science and Technology Program of Henan Province (No. 192102210230).
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Nie, Y., Gao, C., Fu, Z. (2020). Uniform Demagnetization Fault Diagnosis in Permanent Magnet Synchronous Motors Based on the Back-EMF Gyration Radius. In: Jia, Y., Du, J., Zhang, W. (eds) Proceedings of 2019 Chinese Intelligent Systems Conference. CISC 2019. Lecture Notes in Electrical Engineering, vol 593. Springer, Singapore. https://doi.org/10.1007/978-981-32-9686-2_8
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DOI: https://doi.org/10.1007/978-981-32-9686-2_8
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