Research on Intelligent Fault Diagnosis Method of Hydraulic Cylinder Internal Leakage Based on Feature Extraction
In order to improve the diagnostic accuracy of hydraulic cylinder internal leakage faults and achieve intelligent fault diagnosis,this study takes the EHA hydraulic system as the research object,extracts the fault features based on the distance differentiation technique,and takes the parameters of the time domain,the frequency domain,the wavelet energy,and the AR model as the main sensitive features,and classifies the fault features by the machine learning algorithm and the BP neural network algorithm.The results show that compared with the BP neural algorithm,the machine learning algorithm has higher classification accuracy and can effectively diagnose the hydraulic cylinder internal leakage fault.
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