Improved correlation matrix analysis method based on structural hierarchical relation

Abstract

The invention provides an improved correlation matrix analysis method based on a structural hierarchical relation. The method comprises the following steps of: constructing the structural hierarchical information of a system; processing failures; processing tests; establishing an initial correlation matrix; judging correlation between an expansion failure and an expansion test in each structural hierarchy; and establishing an improved correlation matrix. The method can selectively comprise the following steps of: computing the failure detection rate of a specific structural hierarchical object; and computing the failure isolation rate of the specific structural hierarchical object. By the method, the conventional two-value correlation matrix is changed into a three-value correlation matrix, so a plurality of tests which are structurally uncorrelated with the failures can be eliminated, the quantity of the tests to be detected is reduced in the period of failure diagnosis, a large number of computation resources are saved, convenience is provided for quick failure diagnosis, and the computation of the failure detection rate and the failure isolation rate of any system hierarchical unit can be realized by the improved correlation matrix.

Description

technical field [0001] The invention belongs to the technical field of testing, and in particular relates to an improved correlation matrix analysis method based on structural hierarchical relations. Background technique [0002] Testable modeling is an important part of testable work in aerospace and other engineering fields. Through testability modeling and analysis, a correlation matrix that reflects the relationship between faults and tests can be obtained. At present, there is already a commercial software TEAMS that supports test modeling and generates correlation matrices. Using the correlation matrix, on the one hand, it can be used as diagnostic knowledge in the actual diagnosis process, and on the other hand, it can be used to evaluate the diagnostic ability. [0003] In engineering practice, the existing correlation matrix analysis method has the following disadvantages. First, most of the tests and faults in the actual system belong to different structural uni...

AI Technical Summary

Problems solved by technology

However, the correlation matrix generated by the existing commercial software TEAMS is modeled on the lowest level of faults and tests. The correlation matrix thus established has a huge set of tests and faults. For each fault, it is necessary to monitor all This is not conducive to the rapid formulation of diagnostic strategies and will waste a lot of computing resources

Second, in the design of the existing correlation matrix, faults and tests cannot reflect the system structure level, so the fault detection rate and fault isolation rate of each unit cannot be directly calculated according to the correlation matrix

Images