Research on system fault pattern recognition based on characteristic function and connection number

doi:10.16265/j.cnki.issn 1003-3033.2021.06.001

Abstract

Abstract: In order to study system fault pattern with certainty and uncertainty, a pattern recognition method was proposed. Firstly, fault sample patterns were identified by using existing fault standard pattern, and connection number of set pair analysis was used to represent certainty and uncertainty of identification. Secondly, component coefficients of connection number were calculated by utilizing characteristic function of space fault tree, andfault sample pattern was recognized by connection degree and recognition degree. Finally, through analysis on an electrical system example, its fault mode under influence of multiple factors was effectively identified. The results show that the proposed method, based on characteristic function and connection number, can express certainty and uncertainty of pattern recognition. It uses characteristic function to determine component coefficient of connection number and uses connection degree and recognition degree for pattern recognition.

Key words: characteristic function, connection number, system fault mode, recognition degree, set pair analysis

CLC Number:

X913

CUI Tiejun, LI Shasha. Research on system fault pattern recognition based on characteristic function and connection number[J]. China Safety Science Journal, 2021, 31(6): 1-6.

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