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| A New Filter and Detection Approach of Fault in Asynchronous Motor Based on Improved Matrix Pencil |
| Wang Zhen1,2,Li Cheng1,2,Zhang Shunqin3,Wang Lei2,Chen Xu2,Li Huizhang2 |
1. State Key Laboratory of Advanced Electromagnetic Engineering and Technology Wuhan 430074 China;
2. Huazhong University of Science and Technology Wuhan 430074 China;
3. Shandong Electric Power Engineering Consulting Institute Corp Jinan 250013 China |
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Abstract In the current fault diagnosis technology in asynchronous motors, the fault characteristic frequency of broken bar is easily drown by the fundamental frequency, and frequency resolution for short time date is low. Besides, mixed fault easily lead into cross interfere due to square calculation. In order to solving the above problems, a novel method for Fault Diagnosis of asynchronous motor based on the improved MP algorithm was proposed. Fist of all, by the singular value decomposition(SVD) of Hankle marxic,which was construed by stator current signal, different signal subspace were easily obtained. secondly, fundamental frequency and noise were eliminated by adjusting part singular value to zero. Then, the parameters of fault characteristic frequency can be accurately estimated. Finally, the definition of fault serious factor was given from the amplitudes of fault characteristic frequency which was received by utilizing the improved MP. The experimental results of broken rotor bars and eccentric fault shows that the method instead of FFT filters the fundamental frequency and noise, which breaks through the limited resolution of traditional based on FFT analysis
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Received: 10 September 2014
Published: 14 September 2015
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2015, Vol. 30 
