Rail transit fault identification method based on association rule classifier

Abstract

The invention discloses a rail transit fault identification method based on an association rule classifier. The method comprises the steps that (1), attributive characters and fault categories corresponding to the attributive characters are extracted from historical fault data, each fault datum is represented by a transaction, one or more association rules corresponding to each transaction are built for the corresponding transaction, and an association rule set is obtained; (2), the support degree and confidence coefficient of each association rule are calculated according to the number of the transactions, containing the corresponding association rule, in a transaction set, and a strong rule is obtained; (3) an association rule hard classification model is built according to the strong rule; the percentage of each non-strong ruler in the association rule set is calculated, and an association rule soft classification model is built; (4) the attributive characters of the fault data monitored in real time are extracted, and are classified through the hard classification model and the soft classification model. According to the rail transit fault identification method based on the association rule classifier, fault identification accuracy is improved, fault correction time is shortened, fault self-diagnosis is achieved for equipment, and driving safety is ensured from the two aspects of operation and maintenance and equipment.

Description

technical field [0001] The invention relates to a method for class identification of rail transit fault data, in particular to an association rule analysis method in the class identification and analysis of rail transit fault data. The fault class is identified and analyzed by an association rule classification model. Background technique [0002] At present, there are three main types of monitoring and maintenance products in the field of rail transit (state-owned railways, enterprise railways and urban rail transit): CSM (Centralized Signal Monitoring System), various equipment maintenance machines, and communication network management systems. In order to improve the modern maintenance level of my country's railway signal system equipment, since the 1990s, TJWX-I and TJWX-2000 have been independently developed and continuously upgraded signal centralized monitoring CSM systems. At present, most of the stations have adopted centralized signal monitoring system to realize t...

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Problems solved by technology

[0003] Facing the analysis and diagnosis of many complex equipment failures and the causes of traffic accidents, the existing CSM system is still powerless. At present, it still needs to rely on manual experience analysis and judgment. When the signal system fails, the heavy workload, low efficiency of fault monitoring and diagnosis and other technical problems also increase the danger of driving

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