Multi-State Phased-Mission Systems (MS-PMSs) are Multi-State Systems (MSSs) that accomplish different missions in a series of consecutive and non-overlapping time durations, called phases. Many practical PMSs are non-repairable, such as the spacecraft working in the outer space. In the non-repairable MS-PMS, the dependence among phases are more complicated, like the components’ states cannot be better in the latter phases. The paths of the MMDD model generated by traditional MMDD manipulation rules cannot consider this kind of dependency and part of the paths may have the self-conflict problems. To solve this problem, a MMDD algorithm for MS-PMS and PMS-MMDD model are proposed. By the PMS-MMDD model, the system MMDD model can be generated without any additional steps. At last, the Monte Carlo simulation method is used to certify the proposed PMS-MMDD model.

A PMS-MMDD model for reliability assessment of multi-state phased-mission system

Zio, Enrico
2018-01-01

Abstract

Multi-State Phased-Mission Systems (MS-PMSs) are Multi-State Systems (MSSs) that accomplish different missions in a series of consecutive and non-overlapping time durations, called phases. Many practical PMSs are non-repairable, such as the spacecraft working in the outer space. In the non-repairable MS-PMS, the dependence among phases are more complicated, like the components’ states cannot be better in the latter phases. The paths of the MMDD model generated by traditional MMDD manipulation rules cannot consider this kind of dependency and part of the paths may have the self-conflict problems. To solve this problem, a MMDD algorithm for MS-PMS and PMS-MMDD model are proposed. By the PMS-MMDD model, the system MMDD model can be generated without any additional steps. At last, the Monte Carlo simulation method is used to certify the proposed PMS-MMDD model.
2018
Safety and Reliability - Safe Societies in a Changing World - Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018
9780815386827
Safety, Risk, Reliability and Quality
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1077971
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