A Fault Diagnosis Device for Auxiliary Inverter of Urban Rail Train

Abstract

The invention provides a city rail train auxiliary inverter fault diagnosis device. Data collected by sensors is preprocessed by an auxiliary inverter system signal preprocessor; then, the preprocessed data is subjected to noise reduction through an extended Kalman filter, and effective diagnosis data is extracted through an arithmetic unit to remove device abnormity data due to unstable operation of a train; next, the extracted data is decomposed into the sum of a series of mode functions; the decomposed mode functions are subjected to energy torque extraction, and energy torques are input to a BP neural network; and finally, the running status of an auxiliary inverter of a city rail train is identified. The device can effectively identify the running status of the auxiliary inverter of the city rail train, thereby providing a quick and effective method for fault monitoring and diagnosis of the auxiliary inverter of the city rail train.

Description

technical field [0001] The invention belongs to the technical field of urban rail train safety, and in particular relates to a method and device for feature extraction and state identification of an auxiliary inverter for urban rail trains. Background technique [0002] With the rapid development of urban rail transit, the safety of its train operation has also attracted much attention. As an integrated complex operation system, the state and performance of the train will continue to degrade during operation, which will gradually form a safety hazard. If it is not eliminated in time, it may cause an accident. In the actual operation process, accidents caused by train failures occur from time to time. At present, the development of my country's rail transit train monitoring equipment and technology is relatively lagging behind. The fault information collection and guarantee technologies are vertically separate systems and horizontally independent of each other. There is a la...

AI Technical Summary

Problems solved by technology

Most of the inverter device fault diagnosis methods in the prior art directly analyze and diagnose the collected raw data, but in fact, because the train is often in unstable operation during operation, this unstable operation often interferes with the inverter equipment , which leads to the diagnosis result of the equipment may be caused by the unstable operation of the train, rather than the failure of the equipment itself, so the monitoring data of the inverter equipment collected by the sensor cannot be directly used for diagnosis and analysis. This interference greatly reduces the existing Accuracy of Fault Diagnosis Techniques

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