Fault diagnosis method based on fault-test correlation matrix

Abstract

The invention discloses a fault diagnosis method based on a fault-test correlation matrix. The method comprises the steps of 1), determining a system fault-test correlation matrix D through a correlation graphic model of a system; 2), establishing bayesian network nodes; 3), connecting two layers of bayesian network nodes in the step 2) according to each element value in the matrix D; 4), setting a condition probability table for the bayesian network nodes expressing faults; 5), setting the condition probability table for the bayesian network nodes expressing test items; 6), setting an evidence variable according to a test result of each test item; and 7), obtaining diagnosis results. According to the fault diagnosis method based on the fault-test correlation matrix provided by the invention, logic relationships between the faults and tests can be described by employing concise and visual graphs, the occurring probabilities of the faults of the system are effectively integrated, the defects of carrying out the existing fault diagnosis method by applying the correlation matrix are overcome, compared with the correlation matrix, the method has the advantage that the diagnosis analysis results are more quantitative.

Description

technical field [0001] The invention belongs to the field of fault diagnosis and analysis of equipment integration systems, and in particular relates to a fault diagnosis method based on a fault-test correlation matrix. Background technique [0002] With the wide application of high-tech in various types of equipment, the degree of integration, informatization and systematization of the equipment integration system is getting higher and higher. While improving the technical performance of the system, due to the increase in the complexity and the number of equipment contained in a unit volume, the factors affecting the normal operation of the system also increase, resulting in an increasing possibility of failure or failure. Therefore, a method for quickly and effectively troubleshooting the system is extremely important. [0003] At present, there are a large number of system fault diagnosis methods, including correlation model, fuzzy theory, expert system, artificial neura...

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Problems solved by technology

[0006] In order to solve the problem that the existing fault-test matrix is ​​difficult to integrate the fault probability so that the diagnosis result is not accurate enough, and at the same time, in order to overcome the defect

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