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Fault diagnosis method of high voltage circuit breakers based on wavelet packet decomposition and ELM

机译:基于小波包分解和ELM的高压断路器故障诊断方法

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In order to improve the method of the existing circuit breaker fault diagnosis, based on the existing shortcomings of mechanical fault diagnosis, a new method for fault diagnosis is proposed based on wavelet packet decomposition and ELM, and feasible diagnostic steps and analysis are also introduced. It uses wavelet packet decomposition extract characteristic vector of combines vibration and acoustic. Then, the characteristic vectors are used to build the input vector of ELM to conduct fault diagnosis. Experiments show that the proposed method is effective to diagnose the mechanical faults of high voltage circuit breakers.
机译:为了改进现有断路器故障诊断方法,针对现有机械故障诊断方法的不足,提出了一种基于小波包分解和ELM的故障诊断新方法,并介绍了可行的诊断步骤和分析方法。它利用小波包分解提取振动和声学相结合的特征向量。然后,使用特征向量构建ELM的输入向量以进行故障诊断。实验表明,该方法对于诊断高压断路器的机械故障是有效的。

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