Reliability assessment of multi-state phased mission system with non-repairable multi-state components

Autor: Xiang-Yu Li, Enrico Zio, Hong-Zhong Huang, Yan-Feng Li
Přispěvatelé: University of Electronic Science and Technology of China (UESTC), Chaire Sciences des Systèmes et Défis Energétiques EDF/ECP/Supélec (SSEC), Ecole Centrale Paris-Ecole Supérieure d'Electricité - SUPELEC (FRANCE)-CentraleSupélec-EDF R&D (EDF R&D), EDF (EDF)-EDF (EDF), Laboratoire Génie Industriel - EA 2606 (LGI), CentraleSupélec
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Applied Mathematical Modelling
Applied Mathematical Modelling, Elsevier, 2018, 61, pp.181-199. ⟨10.1016/j.apm.2018.04.008⟩
ISSN: 0307-904X
DOI: 10.1016/j.apm.2018.04.008⟩
Popis: International audience; 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 a b s t r a c t 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 multival-ued 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 multi-state 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 multi-state 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.
Databáze: OpenAIRE