Adaptive Filter with Multiple-Scale Decomposition Rotor Broken Bars in Induction Fault Diagnosis

Abstract:

There is a very small additional current component of frequency in the stator current signal when motor has broken rotor bars.So adaptive notch filter is applied to process the signals of the stator current in induction motors.The variable step size LMS algorithm and the multiple-scale wavelet transform are merged into the adaptive filtering system.A method is proposed, that is a LMS adaptive filtering algorithm with modified variable step size based on multiple-scale wavelet transform(MSWT-MVSS-LMS).It can eliminate interference from power frequency component to frequency component of broken rotor bar and achieve precise identification to frequency component of broken rotor bar from FFT.The result is a great help to extract the feature component of rotor fault and improve the sensitivity of fault diagnosis.The simulation show that the method is valid and effective.

• Periodical: Applied Mechanics and Materials (Volume 273)
• Pages: 428-433
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.273.428
• Online since: January 2013
• Authors: De En, Xiao Long Shi, Huang He Wei, Na Na Wei, Chang Sheng Zhou
• Keywords: Broken Rotor Bar, Fault Diagnosis, Multiple-Scale Wavelet Transform

References

[1] OU Li-quan, HUANG Chun, LIU Yun-chan (2007) Estimation of electrical signal frequency based on adaptive notch filter with variable step-size LMS algorithm [J]. Electric Power Automation Equipment. Vol. 27 No. 7: 54-57.

[2] LEI Zhen-yu, HU Guang-rui, SUN Li-ping (2003)A new variable step-size LMS-like algorithm for a second-order adaptive IIR notch filter[J]. Journal Of Shanghai Jiaotong University. Vol. 37 No. 10: 1564-1566.

[3] LIU Lai-bin, ZHANG Ting-yuan, ZHOU Feng (2006) Simulation of adaptive notch filter do detect Rotor Bar Breaking in Induction Motors [J]. Technology and test. Vol. 4: 44-46.

[4] ZHAOZhi-ke, WANG Xin (2011) Adaptive filter and very narrow band notch filter rotor broken bars in induction fault diagnosis [J]. Coal Mine Machinery. Vol. 32 No. 08: 258-260.

[5] DING Lei, PAN Zhen-cun, CONG Wei (2003) Design and simulation of digital filter based on signal processing toolbox of MATLAB [J]. Relay. Vol. 31 No. 9: 50-51.

[6] MA Yue-hong, MA Yan-heng, WANG Xue-fe (2010) MATLAB-based FIR figure wave filter design and simulation [J]. Electronic Measurement Technology. Vol. 33 No. 11: 66-69.

[7] HAN K H, KIM J H (2002) Quantum-inspired evolutionary algorithm for a class of combinational optimization [J]. IEEE Trans, On Evolutionary computation. Vol. 6 No. 6: 580-893.

DOI: 10.1109/tevc.2002.804320

[8] ZHU Hong-jun, WANG Zong, LIAO Lei, YANG Yu-ming (2007) Filtering construct of adaptive filter group with Multi-scale decomposition [J]. Journal of Chongqing University (Natural Science Edition). Vol. 30 No. 3: 70-73.

[9] TANG Jian-feng, ZHANG Deng-yu, LUO Xiang-nan (2008) A new adaptive filtering algorithm based on Multi-scale wavelet transform [J]. Communications Technology. Vol. 41 No. 12: 405-407.

[10] Aboulnasr T, Mayyas K. A (1997) Robust variable step-size LMS-type algorithm: analysis and simulation [J]. IEEE Trans. Signal Processing. Vol. 45 No. 3: 631-639.

DOI: 10.1109/78.558478