Continuous-time Multi-dimensional T-S Dynamic Fault Tree Analysis Methodology

doi:10.3901/JME.2021.10.231

Abstract

Abstract: The reliability of complex systems is often affected by multivariate factors, such as operating time，stress impact, temperature and so on. The fault tree analysis method considering only one factor has some limitations. To solve the above problems, the continuous-time multi-dimensional T-S dynamic fault tree analysis(CM-TSdFTA) methodology considering the multi-factor influence of service time，stress impact and temperature is proposed. Firstly, the probability density function of lower-level events under the influence of multivariate factors is constructed. Based on the sequence rule of lower-level events and the output rule of higher-level events, the method of constructing T-S dynamic gates and their sequential description rules of continuous-time events is proposed. Then, the calculation and analysis method of higher-level event probability distribution function of the continuous-time based on the possibility of execution of rules and occurrence of higher-level event is proposed. CM-TSdFTA methodology can not only describe the static and dynamic logic and relationship between events, but also carry out multi-dimensional reliability analysis for systems whose reliability is affected by factors. Compared with space fault tree, Dugan dynamic fault tree and discrete-time T-S dynamic fault tree analysis method, the feasibility of the proposed CM-TSdFTA methodology is verified. Finally, the engineering analysis instance based on the proposed methodology is given.

Key words: dynamic fault tree, multi-dimensional T-S dynamic fault tree, continuous-time, T-S dynamic gate

CLC Number:

TB114

CHEN Dongning, XU Jingyu, YAO Chengyu, PAN Haoyang, HU Yanlong. Continuous-time Multi-dimensional T-S Dynamic Fault Tree Analysis Methodology[J]. Journal of Mechanical Engineering, 2021, 57(10): 231-244.

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