希尔伯特-黄变换
断路器
断层(地质)
信号(编程语言)
支持向量机
工程类
电压
振动
瞬态恢复电压
特征向量
高压
信号处理
特征(语言学)
模式识别(心理学)
电子工程
计算机科学
人工智能
声学
电气工程
电压基准
数字信号处理
语言学
哲学
地震学
滤波器(信号处理)
程序设计语言
物理
跌落电压
地质学
作者
Xian Ping Zhao,Zhi Wan Cheng,Xiang Yu Tan,Wei Niu
标识
DOI:10.4028/www.scientific.net/amm.687-691.1054
摘要
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.
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