HE Youchen, DI Peng, CHEN Tong, et al. Fuzzy reliability analysis of two kinds of main and auxiliary repairable parallel systems with failure-correlation[J]. 2021, 53(8): 92-102.
DOI:
HE Youchen, DI Peng, CHEN Tong, et al. Fuzzy reliability analysis of two kinds of main and auxiliary repairable parallel systems with failure-correlation[J]. 2021, 53(8): 92-102.DOI: 10.11918/202009074.
Fuzzy reliability analysis of two kinds of main and auxiliary repairable parallel systems with failure-correlation
Due to the long-run accumulation and the complex and changeable external environment
the performance level of a system is uncertain. Accurate quantitative description may cause the interval estimation of the system performance level to be too narrow
which already cannot fulfill the engineering calculation in practice. Meanwhile
failure-correlation is another important factor affecting the reliability of the system. Ignoring failure-correlation can lead to the overestimation of the system reliability
which affects the distribution of maintenance force and the storage of spare components
and is not conducive to the long-term stable operation of the system. Therefore
taking the parallel repairable system of main and auxiliary units composed of multi-state components as research object
the failure transfer rate
repair transfer rate
and state performance level of the components were regarded as fuzzy numbers
and the failure-correlation of the system components was investigated. The reliability analysis of two typical kinds of main and auxiliary parallel systems were carried out. The model for fuzzy multi-state main and auxiliary repairable parallel system with failure-correlation and the fuzzy state transfer differential equations were established
and the fuzzy state probability of the system was obtained. By using the α-level truncation set and the Zadeh-expansion principle
the truncated set interval of the fuzzy state probability and the steady state availability of the system was determined. The steady measures of the system were obtained
and the influence of the fuzzy degree of component parameters on the steady measures was given by numeral application
which provides reference for the study on the failure-correlation of multi-state systems under complex conditions
and is conducive to the optimization of maintenance support in engineering design.