The structural damage recognition has been analyzed with mode identification method and the method for extracting the wavelet package signal energy eigenvalue has been analyzed.
从模式识别的观点对结构损伤识别进行了分析，分析了小波包信号能量特征提取的方法。
Conventional discharge condition detection methods extracting only certain eigenvalue are not suitable for the Micro-EDM due to the high frequency and distortion of voltage wave shape.
常规放电状态检测方法由于仅采用单一的特征量进行状态判别，因此在加工信号频率高、加工波形产生畸变的微细电火花加工中，不再适用。
Conventional discharge condition detection methods extracting only certain eigenvalue are not suitable for the Micro-EDM due to the high frequency and distortion of voltage wave shape.
常规放电状态检测方法由于仅采用单一的特征量进行状态判别，因此在加工信号频率高、加工波形产生畸变的微细电火花加工中，不再适用。
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