Neural network-based subway train fault diagnosis device and method

Abstract

The invention discloses a neural network-based subway train fault diagnosis device and a neural network-based subway train fault diagnosis method. A lower computer classifies acquired subway train state information according to a functional unit, concentrates and summarizes data, and sends the data to an upper computer; the upper computer receives, processes and stores the subway train state data summarized by the lower computer; the upper computer comprises a data acquisition module and a neural network module; the data acquisition module finishes the classification of the acquired subway train state data; the lower computer acquires real-time data information of a subway train; and when the subway train fails or is to fail, the neural network module of the upper computer performs corresponding judgment and pre-judgment according to the output of a radial basis function neural network established during training and outputs fault information to a fault diagnosis result module. By the embodiment of the invention, the technical problems of insufficient acquired and analyzed data volume, low data processing efficiency and a complicated calculation process in the prior art can be well solved.

Description

technical field [0001] The present invention relates to a fault diagnosis device and method thereof, in particular to a radial basis function neural network (RBFNN)-based radial basis function neural network (RBFNN) applied to subway trains capable of classifying and processing faults. Fault diagnosis device and method thereof. Background technique [0002] With the rapid development of my country's urban rail transit, how to ensure the safe operation of subway trains has become an increasingly urgent and difficult problem. At present, my country has deployed a large number of urban rail monitoring systems, which have played an important role in ensuring operational safety. However, the existing technology cannot provide ideal solutions for the fault diagnosis of subway trains, which has also become a bottleneck restricting the continued development of my country's urban rail transit. [0003] The existing embedded fault intelligent diagnosis device based on data fusion pa...

AI Technical Summary

Problems solved by technology

[0007] The present invention provides a neural network-based subway train fault diagnosis device and method thereof, which can well overcome the technical problems of insufficient collection and analysis data, low data processing efficiency, and complicated calculation process in the prior art. The subway train fault diagnosis device and method described in this invention can comprehensively collect relevant data on the operation status of the subway train, and then perform intelligent analysis and processing after classification and processing, so as to accurately output the faults of the subway train and the faults that will occur

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