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| Impact Signal Adaptive Extraction and Recognition Based on scale transformation Stochastic Resonance System |
| CAO Yanlong YANG Biyu YANG Jiangxin ZHENG Shipu ZHOU Weijie |
| Department of Mechanical Engineering, Zhejiang University, Hangzhou 310027 |
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Abstract Different equipment malfunction will produce different types of impact signal. But traditional index can’t distinguish the types of impact signal. In order to overcome the shortcomings, in this paper, kurtosis value and approximate entropy of impact signal are analyzed and impact signal characteristic coefficient is constructed combining of the two indexes. On the basis of this, a method of impact signal adaptive extraction and recognition based on scale transformation stochastic resonance system is presented. Then the extraction and recognition of weak signal in the strong noise environment is realized. Finally, the effectiveness and feasibility of the method are verified through simulation.
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Received: 04 July 2014
Published: 25 February 2015
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