Motor train unit transmission system fault prediction and health management device and use method thereof

Abstract

The invention belongs to the technical field of locomotive working condition monitoring and fault diagnosis, and particularly relates to a motor train unit transmission system fault prediction and health management device and a use method thereof. The device comprises a bridge processor, a ground fault diagnosis predictor and a train-mounted diagnosis server which are interconnected through a train bus, and a data acquisition preprocessor which is connected to the corresponding vehicle-mounted diagnosis server through a gigabit Ethernet; a data processing unit is arranged in each unit; and particularly, a metabolism grey-particle filtering combined prediction model is adopted for predicting the service life of the motor bearing, so that the residual service life of the motor bearing can be accurately predicted. According to the device, real-time fault monitoring of the motor train unit transmission system is guaranteed, and health management data of the motor train unit transmission system is efficiently provided. According to the method, faults of the motor train unit are alarmed in advance or in time, repair or replacement of the bearing before the maximum use time limit is achieved, unnecessary overhaul is reduced, and cost is saved. The driving safety can be guaranteed, and the use efficiency of key components is improved.

Description

technical field [0001] The invention belongs to the technical field of locomotive working condition monitoring and fault diagnosis, and in particular relates to a fault prediction and health management device for a transmission system of an EMU and a use method thereof. Background technique [0002] In recent years, my country's high-speed railway construction has taken the lead in the world, and its core advantages lie in fast speed and large transportation volume. Safety is the cornerstone of high-speed railway development. The higher the speed of high-speed trains, the higher the requirements for its operation safety monitoring technology. The most direct impact on the safety of train operation is the reliability of the transmission system of high-speed trains. Therefore, it is necessary to conduct continuous research on the condition monitoring and fault diagnosis of the high-speed train transmission system and propose a solution to adapt to a faster speed, so as to fu...

AI Technical Summary

Problems solved by technology

Engineering practice shows that the analysis of vibration signals can effectively diagnose locomotive bearing faults, but there are also disadvantages: (1) the installation of vibration sensors requires additional costs, and the transmission structure of high-speed trains is compact, and some models do not have enough space to install additional sensors; (2) ) The vibration sensor is susceptible to external interference (such as vibration of the car body, rail, etc.), and must be carefully maintained to prevent false alarms; (3) The operating environment of the high-speed train has a great influence on the obtained vibration signal of the transmission system. May affect diagnostic accuracy

Any use of a single model is only suitable for short-term prediction of high-speed train bearing failure, and cannot give the real-time life process of the bearing

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