Monitoring Hydraulic System Fault Based on Motor Current Signal and Wavelet Transform

Zhengkai Zhang, Pengju Li, Qingguo Wen, Changjun Liu


Fault diagnosis of a hydraulic system is not easy because most components of a hydraulic system are mounted internally and vibration signal is difficult to be obtained. An efficient method to detect the load fluctuation in a hydraulic system is the motor current signature analysis (MCSA). Motor current signal is the input source signal of hydraulic system and can be easily accessed, which make motor current become ideal information source for fault diagnosis. In this paper, a hydraulic system (with coupling misalignment fault) has been studied. In order to replace the conventional signal processing method by MCSA, wavelet also be used for fault feature extraction from motor current. Experimental results show that the method is available.


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