Rail transit vehicle door system fault diagnosis and early warning method based on multiple conditions

Abstract

The invention discloses a rail transit vehicle door system fault diagnosis and early warning method based on multiple conditions. Operation data aiming at a door system is divided into initialized standard data, daily standard data and real-time operation data. Diagnosis and early warning can be accurately realized. Motor monitoring is used to monitor a parameter and a door controller IO signal in real time so as to diagnose a door-system typical fault, and a fault type of the door system, which can be diagnosed, is enriched. Through refining a fault characteristic, diagnosis precision is increased. A real-time health degree model is established, through a real-time parameter and a residual error characteristic of a model, a sub-health phenomenon is diagnosed, and a new method is provided for early warning of an early-stage fault. For a long-term slow degeneration sub-health problem of the door system, by using a traditional diagnosis method, a door system parameter can not be monitored; but, through using the method of the invention, by establishing a degeneration threshold model and comparing and analyzing a long-term change trend of a state parameter characteristic value, a long-term degeneration sub-health state can be identified, early stage early warning is realized and a good application prospect is possessed.

Description

technical field [0001] The invention relates to the technical field of urban rail transit, in particular to a method for fault diagnosis and early warning of a rail transit vehicle door system based on multiple working conditions. Background technique [0002] With the increasing scale of cities, urban rail transit bears a huge traffic passenger flow pressure, and higher and higher requirements are put forward for the real-time monitoring and reliability of urban rail transit vehicle status. [0003] During the operation of urban rail transit vehicles, the door system needs to be opened and closed frequently. Coupled with the influence of human factors, it will lead to frequent train door failures and passenger clearing incidents. Therefore, the reliability and safety of the door system will directly affect the normal and safe operation of urban rail transit vehicles. [0004] The fault diagnosis logic of the existing door system is relatively simple, and when the door syst...

AI Technical Summary

Problems solved by technology

[0005] At present, there are two main methods for the diagnosis and operation and maintenance of the existing door system: one is the regular inspection and maintenance of the maintenance personnel, which is time-consuming and laborious, and the reliability is poor; the other is to diagnose the type and cause of the fault based on the reliability analysis technology after the fault occurs, Including reliability block diagram method, Bayesian network method, fault tree method, etc., but this kind of diagnosis technology needs to rely on a large number of sufficient expert knowledge bases as the basis, not real-time, and not suitable for feature mining and early fault warning

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