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故障信号检测的小波基选择方法

Method of Choosing a Wavelet for Fault Detection

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【作者】 周小勇叶银忠

【Author】 ZHOU Xiaoyong, YE Yinzhong (Department of Electric Engineering ,Shanghai Maritime University, Shanghai 200135, China)

【机构】 上海海运学院电气工程系上海海运学院电气工程系 上海 200135上海 200135

【摘要】 提出了一种用于故障信号奇异性检测的小波基选择方法—按照小波规则性系数选择小波基。这一方法是基于小波变换后的小波系数表示小波函数和信号之间的相似程度,同时信号的规则性系数又和小波变换后的小波系数模值间存在着一定关系。仿真结果表明,这一方法的有效性和可行性。

【Abstract】 ?A method of choosing a wavelet for the detection of singularities of a fault signal is presented. The method is to choose a wavelet by the regularities of the wavelet and the signal. The method is based on the fact that the coefficient of the wavelet transform signifies the resemblance between the wavelet and the signal, at the same time, the regularity of the signal is relative to the wavelet coefficient. A simulation is presented to illustrate the validity and feasibility of the method.

  • 【分类号】TP277
  • 【被引频次】137
  • 【下载频次】890
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