Application of Discrete Spectrum Correction Technology for Induction Motor Rotor Fault Diagnosis

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Abstract:

The extraction method of induction motor’s fault character based on coordinate transformation could restrain the influence of fundamental component leakage by translating fundamental component into DC component. The amplitude of the fault character frequency component was inaccurate by spectrum analysis taking no account of the leakage of itself. So rotor fault diagnosis method of induction motor based on discrete spectrum correction technology is proposed. This method which did not depend on spectral function of the window function improved the traditional phase difference correction method, and the stator current signal analysis by means of an appropriate window function is performed to reduce the interference between each frequency. The proposed method could detect the existence of fault character frequency component and its frequency and amplitude. The simulation and experimental results indicated that using this method could get better precision of frequency and amplitude of the fault character frequency component.

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Periodical:

Advanced Materials Research (Volumes 960-961)

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1207-1213

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June 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Cruz S M A, Cardoso A J M. Stator winding fault diagnosis in three-phase synchronous and asynchronous motors by the extended Park's vector approach[J]. IEEE Trans. On Industry Applications, 2001, 37(5): 1227-1233.

DOI: 10.1109/28.952496

Google Scholar

[2] Hou Xin-guo, Wu Zheng-guo, Xia Li. A method for detecting rotor faults in asynchronous motors based on the square of the Park's vector modulus[J]. Proceedings of the CSEE, 2003, 23(9): 137-140.

Google Scholar

[3] Cruz S M A, Cardoso A J M, Toliyat H A. Diagnosis of stator, rotor and airgap eccentricity faults in three-phase induction motors based on the multiple reference frames theory[C]. Conference Record of The 2003 IEEE Industry Applications Society Annual Meeting, Salt Lake City, USA, 2003, П: 1340-1346.

DOI: 10.1109/ias.2003.1257725

Google Scholar

[4] Ma Hong-zhong, Yao Hua-yang, Li Hua-min. Study on rotor broken-bar fault in induction motors based on spectrum analysis of Hilbert modulus[J]. Electric machines and control, 2009, 13(3): 371-376.

Google Scholar

[5] Niu Fa-liang, Huan Jin, Yang Jia-qiang, et al. Rotor broken-bar fault diagnosis of induction motor based on Hilbert-Huang transformation of the startup electromagnetic torque[J]. Proceedings of the CSEE, 2005, 25(11): 107-112.

DOI: 10.1007/s11460-006-0022-3

Google Scholar

[6] SHAO Ying, LI Xiao-ming, ZHANG Xiao-ming. Interharmonics parameter detection based on interpolation FFT and multiple signal classification algorithms[J]. Journal of Naval University of Engineering, 2011,23(4):53-59.

Google Scholar

[7] HU Wen-biao, XIA Li, XIANG Dong-yang et al. An improved frequency spectrum correction method based on phase difference correction method[J]. Journal of vibration and shock, 2012, 31(1): 162-166.

Google Scholar

[8] Ding Kang, Chen Jianlin, Su Xiangrong. Development in vibration signal analysis and processing methods[J]. Journal of Vibration engineering, 2003, 16(1): 1-10.

Google Scholar

[9] Xie Ming, Zhang Xiaofei, Ding Kang. A phase difference correction method for phase and frequency correction in spectral analysis[J]. Journal of Vibration engineering, 1999,12(4):454-459.

Google Scholar

[10] Ding Kang, Zhong Shun-cong. A universal phase difference correcting methods on discrete spectrum[J]. ACTA ELECTRONICA SINICA, 2003,31(1):142-145.

Google Scholar

[11] Ding Kang, Yang Zhijian. Improvement and anti-noise performance analysis of window-length changing phase difference correction[J]. Journal of South China University of Technology, 2007,35(10): 210-213.

Google Scholar