期刊
APPLIED MATHEMATICAL MODELLING
卷 61, 期 -, 页码 181-199出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.apm.2018.04.008
关键词
Reliability assessment; Multi-state multivalued decision diagram (MMDD); Phased mission system (PMS); Multi-state system; Semi-Markov process; Monte Carlo simulation; Attitude and Orbit Control System
资金
- National Natural Science Foundation of China [51775090]
- China Scholarship Council [201606070066]
Phased mission systems (PMSs) like satellites and spacecraft perform their functions over non-overlapping mission periods, called phases. One of the challenges in assessing reliability of PMSs comes from considering the s-dependence among phases, and the consideration on the multi-state behavior of components and systems makes the reliability analysis even more difficult. To effectively address this problem, a multi-state multivalued decision diagram algorithm for PMS and a multi-state multi-valued decision diagram model for phased mission system (PMS-MMDD) method is developed for the reliability modelling of non-repairable multi-state components. Based on the Semi-Markov process, a Markov renewal equation-based method is developed to deal with non-exponential multistate components and a numerical method, the trapezoidal integration method, is used to compute the complex integrals in the path probability evaluation. A case study of a multistate attitude and orbit control system in a spacecraft is analyzed to illustrate the proposed PMS-MMDD model and the Markov renewal equation-based evaluation method. The accuracy and computation efficiency of the proposed method are verified by the Monte Carlo simulation method. (C) 2018 Elsevier Inc. All rights reserved.
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