Fault diagnosis system and method for train based on fault tree

Abstract

The invention discloses a fault diagnosis system and a method for a train based on a fault tree. The system comprises a remote detection and diagnosis subsystem and a data processing subsystem; the remote detection and diagnosis subsystem is used for collecting the fault data and event record environment data of train equipment as well as sending the data to the data processing subsystem;the remote detection and diagnosis subsystem comprises a storage module, a fault intelligent analysis module and an expert diagnosis knowledge base module; the storage module is used for storing the fault data and event record environment data; the fault intelligent analysis module is used for reconstructing the fault data and event record environment data and configuring a fault structure;the diagnosis is carried out by the expert diagnosis knowledge base module; the diagnosis result is received and output; the expert diagnosis knowledge base module is used for diagnosis according to the input fault structure and fault tree to generate the diagnosis result. The system and method provided in the invention can diagnose the train fault completely, analyze the fault automatically;and the system and method have the advantages of high diagnosis reliability, simplification and high efficiency.

Description

technical field [0001] The invention relates to the field of train fault diagnosis, in particular to a fault tree-based train fault diagnosis system and method. Background technique [0002] At present, the number of Harmony series electric locomotives in our country is very large, and the safety of the locomotives is the top priority of the railway department. The fault diagnosis technology of my country's locomotive industry is mainly limited to the diagnosis of some key equipment, components and parts. None of these diagnostic methods involve comprehensive diagnosis of the entire locomotive system. Electric locomotive is an extremely complex industrial product, and there are many factors that cause failure. The fault diagnosis of the entire locomotive system requires a lot of human expert experience, manpower and material resources. Intelligent diagnosis method is an artificial intelligence computer program that uses a large number of experience knowledge of experts in ...

AI Technical Summary

Problems solved by technology

However, during the operation of locomotives, there are a series of uncertain inertial faults. Such faults are often not the root of the problem, but a comprehensive manifestation of the problem. In most cases, the traditional fault tree analysis method is not applicable.

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