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Fault diagnosis method based on fault-test correlation matrix

A correlation matrix and fault diagnosis technology, which is applied in the direction based on specific mathematical models, special data processing applications, instruments, etc., can solve the problems of inaccurate diagnosis results and difficult to obtain the correlation between fault nodes and test nodes, and achieves the promotion of wide application, Improve diagnostic efficiency and achieve intelligent effects

Inactive Publication Date: 2016-12-21
XI'AN INST OF OPTICS & FINE MECHANICS - CHINESE ACAD OF SCI
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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 that the relationship between the fault node and the test node is difficult to obtain in the existing fault Bayesian network, the present invention proposes a fault-based - Troubleshooting methods for testing correlation matrices

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  • Fault diagnosis method based on fault-test correlation matrix
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Embodiment Construction

[0041] The invention is a fault diagnosis method based on fault-test correlation matrix. The technical solution of the present invention will be described in further detail below in conjunction with the accompanying drawings. The concrete implementation process of the embodiment of the present invention is as follows:

[0042] Step 1. Obtain the system failure-test correlation matrix D through the system correlation graphical model.

[0043] Each row of the matrix D corresponds to the fault of a unique unit in the system, and each column corresponds to a unique test item in the system; that is, for a system with m constituent units and n test items, the correlation matrix D has m rows and n columns of data . Each component unit of the system includes only two states of normal and fault, and the fault of the system component unit corresponding to the i-th row (1≤i≤m) in the matrix D is represented by F i Indicates that the test item corresponding to the jth column (1≤j≤n) is...

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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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Application Information

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IPC IPC(8): G06F17/50G06N7/00
CPCG06F30/20G06N7/01
Inventor 王锋涛宋宗玺高伟杜云飞郑培云李宝鹏淡丽军雷浩
Owner XI'AN INST OF OPTICS & FINE MECHANICS - CHINESE ACAD OF SCI
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