Fault detection and isolation synthesis method based on testability modeling data

Abstract

The invention discloses a fault detection and isolation synthesis method based on testability modeling data. The method includes the first step of establishing correlation matrixes of a system, the second step of establishing a BIT fault dictionary, the third step of establishing a manual testing correlation matrix of BIT fuzzy set faults and generating an artificial isolation diagnostic tree of the BIT fuzzy set faults, the fourth step of establishing a manual testing correlation matrix of BIT undetectable faults and generating an artificial detection isolation diagnostic tree of the BIT undetectable faults, and the fifth step of synthesizing the BIT fault dictionary, the artificial isolation diagnostic tree of the BIT fuzzy set faults and the artificial detection isolation diagnostic tree of the BIT undetectable faults and carrying out fault detection and isolation when the system is maintained and checked. According to the method, BIT test results can be directly used, manual testing optimization of the BIT fuzzy set faults and the BIT undetectable faults is achieved, and diagnosis efficiency and integrality are improved.

Description

technical field [0001] The invention relates to a comprehensive method for fault detection and isolation based on testing modeling data, which belongs to the technical field of testing. Background technique [0002] Testability modeling is a commonly used method for system testability design analysis. Through testability modeling, the correlation matrix of the system can be obtained, and then the quantitative evaluation of fault detection and isolation capabilities can be realized. [0003] On the basis of the correlation matrix, the passed direct test can preferably obtain a diagnostic tree, and the diagnostic steps provided by the diagnostic tree can realize the detection and isolation of system faults. However, in practical applications, the correlation matrix usually includes built-in testing (BIT) and manual testing, and the built-in testing is performed automatically and is not limited by the diagnostic steps, so the diagnostic tree obtained by the above method cannot ...

AI Technical Summary

Problems solved by technology

However, in practical applications, the correlation matrix usually includes built-in testing (BIT) and manual testing, and the built-in testing is performed automatically and is not limited by the diagnostic steps, so the diagnostic tree obtained by the above method cannot be fully utilized. Advantages of on-board testing give more efficient and complete diagnostics

[0004] At present, for this problem, there is no effective integrated fault detection and isolation method of built-in test (BIT) and manual test.

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