The method uses wavelet transform and principle component analysis to preprocess fault signal, afterward training and testing wavelet neural network with the preprocessed fault characteristic data.
该方法首先利用小波变换和主成分分析对故障信号进行预处理，然后用处理后的故障特征数据对小波神经网络进行训练和测试。
The core of this method is to find the mapping relations between fault component and load-shedding buses or the system.
该方法核心是找到故障元件与削减负荷节点和系统的映射关系。
An actuator fault diagnosis method based on component signals analysis is proposed.
提出了一种基于部件信号分析的执行器故障诊断方法。
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