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Research on Acoustic Mechanical Fault Diagnosis Method of High Voltage Circuit Breaker based on Improved EEMD

机译:基于改进的EEMD的高压断路器声学机械故障诊断方法研究

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High voltage circuit breaker is one of the most significant devices and its health status will impact security of the power system. In this paper, the method of high voltage circuit breakers mechanical fault diagnosis is discussed, fault diagnosis method based on vibration signal is proposed. Firstly, the collected acoustic signals are proceed by blind source separation processing through fast independent component analysis. Then, the acoustic signal feature vector is extracted by improved ensemble empirical mode decomposition (EEMD) and the residual signal is filtered by fractional differential. Finally, the feature vectors are input into support vector machine (SVM) for fault diagnosis. Experiment shows that the proposed method can get more precise fault classification to high voltage circuit breakers.
机译:高压断路器是最重要的设备之一,其健康状态将影响电力系统的安全性。本文讨论了高压断路器机械故障诊断方法,提出了基于振动信号的故障诊断方法。首先,通过快速独立的分量分析通过盲源分离处理进行收集的声学信号。然后,通过改进的集合经验模式分解(EEMD)提取声学信号特征向量,并且通过分数差分过滤残差信号。最后,将特征向量输入到支持向量机(SVM)中以进行故障诊断。实验表明,该方法可以对高压断路器进行更精确的故障分类。

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