Hidden danger and fault feature extraction method for train traveling system

Abstract

The invention relates to a method for hidden danger and fault feature extraction for a train running system. The method comprises the following steps that (1) real-time operation data of a train are collected by a sensor installed on the train and speed signals in the running process of the train are obtained through a train-mounted network; (2) multiple sensor network data fusion processing is conducted on the real-time operation data and the speed signals, so that source data of hidden danger and fault feature extraction are obtained; (3) a feature extraction algorithm is conducted on the source data, so that feature quantities of different components of the running system are obtained; (4) a feature quantity value which is representative and capable of reflecting the operation state of the running system is selected from the feature quantities obtained in the step (3), the redundancy among the feature quantities is removed, and the final hidden danger and fault feature quantity of the running system is obtained. Compared with the prior art, the data extracted through the method is high in accurate and the running safety can be effectively improved.

Description

technical field [0001] The invention relates to a train fault early warning method, in particular to a method for extracting hidden dangers and fault features of a train running system. Background technique [0002] With the vigorous development of my country's national economy, the process of urbanization has been greatly accelerated, and the problem of traffic congestion has gradually become a constraint on urban development. Large and medium-sized cities across the country have vigorously developed urban rail transit to solve the increasingly tense traffic problems. The vigorous development of urban rail transit is both an opportunity and a challenge. While the operation of rail transit vehicles alleviates the pressure on urban traffic, it also brings new problems to the maintenance of vehicles. During the running of the train, the speed is fast, there are many stops, and the continuous and fast running time is long, which puts forward very high requirements on the compo...

AI Technical Summary

Problems solved by technology

[0004] Traditional walking system fault diagnosis methods focus on the diagnosis of fault conditions, mainly using logical judgment, combined with the action status of components in the system for simple fault judgment, but these existing technical methods can only perform fault diagnosis for obvious faults that have occurred diagnosis, but cannot give early warning of hidden dangers in the walking system before obvious failures occur

When there is a identifiable fault in the walking system, it often has an impact on the normal operation of the urban rail train, ranging from being unable to run on time to threatening the safety of the vehicle

Images