Intelligent Diagnosis Method for Fault of 6kV High-Voltage Motor
Aiming at the problems of high misdiagnosis rate and long diagnostic response time in the intelligent diagnosis method for 6 kV high-voltage motor faults,a 6 kV high-voltage motor fault intelligent diagnosis method is proposed.Using wireless sensors to collect motor operation data,using the noise reduction self coding network model to denoise the data,using wavelet packet analysis technology to obtain wavelet packet energy entropy information,extracting data features,and diagnosing motor fault types based on calculated fault feature frequencies,in order to achieve intelligent diagnosis of 6 kV high-voltage motor faults.Experimental results have shown that the misdiagnosis rate of this design method is within 1%,and it can complete fault diagnosis within 1 s,which has good application prospects.
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