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| Bearing Fault Diagnosis Method Based on VMD and Generalized Fractal Dimension Matrix |
| ZHANG Shu-qing1, XING Ting-ting1,2,HE Hong-mei3,DONG Yu-lan1, ZHANG Li-guo1, JIANG Wan-lu1 |
1. Key Lab of Measurement Technology and Instrumentation of Hebei Province, Institute of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China
2. Tangshan Polytechnic College, Tangshan, Hebei 063000, China
3. Hebei Institute of Metrological Supervision and Measurement, Shijiazhuang, Hebei 050051, China |
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Abstract A method of bearing fault diagnosis based on variational mode decomposition (VMD) and generalized fractal dimension was proposed. A number of mode functions were obtained through the decomposition to the signal by VMD method. Then the generalized fractal dimension of each mode functions were calculated according to the different weighting factors, and arranged to construct the generalized fractal dimension matrix. Finally, according to the correlation coefficient of the signals generalized fractal dimension matrix and the sample signals, the fault status could be diagnosed. The experiment results showed that the method could extract fault feature accurately and stably, and distinguish signals of different status and identify the faults with close frequency.
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Received: 22 February 2016
Published: 16 June 2017
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| Fund:National Natural Science Foundation of China |
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2017, Vol. 38 
