Method and device for fault diagnosis of traction motor

Abstract

This application provides a traction motor fault diagnosis method and device, which are applied to the traction motor fault diagnosis system. In this method, the train traction motor is used as the object, and the premise is that no additional sensors are added, and no additional equipment transformation is performed on the train traction system. Next, using the bearing fault diagnosis parameters of the traction motor and the stator coil insulation fault diagnosis parameters, the preset gradient boosting tree model and the preset fuzzy clustering model are called respectively to realize the fault diagnosis of the traction motor bearing and the stator coil insulation fault diagnosis, thus Reduce the cost of traction motor fault diagnosis.

Description

technical field [0001] The present application relates to the technical field of motor fault diagnosis, in particular to a traction motor fault diagnosis method and device. Background technique [0002] With the wide application of rail trains, in electric railway rolling stock, the traction motor is the core component to realize the conversion of electrical energy and mechanical energy, and undertakes the important task of power output in the operation of rolling stock, which has great influence on the operating efficiency and safety of railway rolling stock. important influence. Operation practice shows that the operating conditions of rail train traction motors are complex and changeable. impact, it is easy to cause the traction motor to fail. Once the traction motor breaks down, it will affect the driving order and cause heavy economic losses, or lead to safety accidents and endanger personal safety. [0003] According to the survey results, 40% of traction motor fail...

AI Technical Summary

Problems solved by technology

At present, the fault diagnosis of traction motor bearings mainly includes vibration signal analysis method and temperature signal analysis method, and the vibration signal and temperature signal analysis method requires additional vibration acceleration sensors and temperature sensors, as well as related analysis and diagnosis equipment, which not only increases equipment maintenance costs , while adding the device itself will cause failure

At present, the diagnosis of the insulation fault of the stator coil of the traction motor adopts offline regular inspection and maintenance. The detection itself is time-consuming and laborious, and the stator coil insulation fault of the traction motor cannot be avoided during the two regular inspections.

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