Current signal-based motor bearing fault diagnosis method

Abstract

The invention discloses a current signal-based motor bearing fault diagnosis method. According to the method, motor current history signals under different bearing fault states are obtained in a modeltraining stage; harmonic signals are extracted from the current history signals and fundamental frequencies and harmonic waves are eliminated from original current history signals to obtain residualsignals; time domain analysis and frequency domain analysis are carried out on the residual signals to extract bearing fault feature indexes; training is carried out on the basis of the bearing faultfeature indexes and bearing fault types to obtain a bearing fault diagnosis model; and carrying out processing same as the model training stage on a to-be-diagnosed motor current real-time signal to obtain a bearing fault feature index, and the bearing fault feature index is input into the trained bearing fault diagnosis model to carry out mode recognition so as to diagnose a bearing fault state.The method is capable of solving the technical problem that mistaken and false information is caused as existing motor bearing fault diagnosis methods are difficult to extract fault feature signals from current signals with low signal to noise ratios.

Description

technical field [0001] The invention relates to the technical field of fault detection, in particular to a method for diagnosing faults of traction motor bearings by using current signals. Background technique [0002] In the electric railway rolling stock, the traction motor is the most core component to realize the conversion of electrical energy and mechanical energy. Operation practice shows that motor bearing faults are the most common and most dangerous faults in traction motors. The occurrence and development of these faults not only lead to motor damage, but also may cause damage to other equipment, resulting in great losses. How to carry out timely and effective condition monitoring and fault diagnosis for traction motor bearing faults to avoid economic losses caused by vicious accidents and unnecessary shutdowns is a key technical problem in solving traction motor condition maintenance. [0003] At present, the vibration signal analysis method and the stator curre...

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Problems solved by technology

[0008] In view of this, the purpose of the present invention is to provide a motor bearing fault diagnosis method based on current signals, to solve the problem that existing motor bearing fault diagnosis methods are difficult to effectively extract fault characteristic signals from current signals with low signal-to-noise ratio, thereby Technical issues leading to false positives or false negatives

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