Rail transit fault identification method based on association rule classifier

A rail transit and fault identification technology, applied in two-dimensional position/channel control, etc., can solve the problems of increased driving danger, low efficiency of fault monitoring and diagnosis, and heavy workload of manual diagnosis of railway signal systems, so as to improve self-diagnosis ability, improve fault handling efficiency, and shorten the effect of fault repair time

Active Publication Date: 2014-04-30
BEIJING TAILEDE INFORMATION TECH
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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 manua

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  • Rail transit fault identification method based on association rule classifier
  • Rail transit fault identification method based on association rule classifier
  • Rail transit fault identification method based on association rule classifier

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Embodiment Construction

[0040] The present invention will be described in detail below through specific embodiments and accompanying drawings.

[0041] There are two main steps in the classifier operation: one is to find the appropriate mapping function H according to the given training set: the representation model of f(X)→C, which is usually called the model training stage; the other is to use the first step to complete the training The function model predicts the category of the data, or uses the function model to describe each category in the data set to form classification rules. figure 1 Represented the operation process of the present invention, by figure 1 It can be seen that the rail transit monitoring fault identification method based on the association rule classifier in this embodiment includes the following steps: (1) Training process: train the historical fault data of rail transit monitoring to obtain a classifier based on the association rules. (2) Identification process: classify an...

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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...

Claims

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Application Information

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IPC IPC(8): G05D1/02
Inventor 鲍侠
Owner BEIJING TAILEDE INFORMATION TECH
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