Train running fault diagnosis device based on multi-source information fusion, and method

Abstract

The invention discloses a train running fault diagnosis device based on multi-source information fusion, and a method. The train running fault diagnosis device based on multi-source information fusion comprises a trackside fault early warning apparatus and a vehicle on-board fault diagnosis apparatus. The trackside fault early warning apparatus comprises a trackside vibration sensor disposed at one side of the track, and a temperature sensor. The vehicle on-board fault diagnosis apparatus comprises an axle box vibration sensor and a framework vibration sensor. The diagnosis comprises the steps of firstly adopting the singular value decomposition and de-noising technology to conduct noise-reducing process on various signals; secondly adopting HHT to extract fault characteristic constant from various vibration signals; thirdly adopting SVM and a threshold determining method to conduct train running local fault diagnosis; finally adopting improved D-S evidence theory to conduct decision fusion on the local fault diagnosis result, and realizing accurate diagnosis of running fault. The train running fault diagnosis device based on multi-source information fusion, and a method are advantageous in that the cost is low, precision is high, and device is simple; the problem of a single sensor that diagnosis may be not accurate can be resolved; the accurate diagnosis of the train running fault can be completed.

Description

technical field [0001] The invention relates to the key technical field of in-transit monitoring and safety early warning of urban rail trains, in particular to a fault diagnosis method and device for train running systems. Background technique [0002] With the rapid development of China's social economy, my country's urbanization process is gradually deepening. By 2016, the total length of urban rail lines is expected to reach 3,500 kilometers, and more than 30,000 urban rail vehicles in more than 60 cities will be put into operation in 2020. . With the rapid development of urban rail transit and the use of a large number of vehicles, the operation safety of vehicles has become the focus of attention in recent years. [0003] Due to the complex working environment, the running system of urban rail vehicles is prone to various failures when the load impact is too large or is affected by factors such as improper installation design and poor lubrication state. It is one of th...

AI Technical Summary

Problems solved by technology

The research on the automatic diagnosis device of the running system of urban rail vehicles is currently mainly focused on the time-frequency analysis of vibration signals, such as wavelet analysis, short-time Fourier transform, empirical mode decomposition, and amplitude spectrum features. The analysis is aimed at a single sensor and a single fault mode. However, there are many factors affecting the faults of the urban rail vehicle running system and they are interrelated. The diversity, uncertainty and complexity of various faults constitute the difficulty of fault diagnosis. Therefore, it is difficult to complete the accurate diagnosis of urban rail vehicle running system faults only by using a single sensor and a single fault feature quantity method.

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