Monte Carlo Simulation for Reliability Estimation of Phased-Mission Systems With Minimum Operational Time Requirement

Xiaoyue Wu, Jane Hillston

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a Monte Carlo simulation approach for evaluating the mission reliability of a phased mission system (PMS) that has time redundancy in mission execution during some phases. This means that the system is not required to remain operational throughout the time interval of the phase; instead it just needs to work normally for a time interval no less than a given length. A Monte Carlo simulation procedure and the associated flowcharts are provided in detail. A simplified PMS is used as an illustrative example. Both the point estimate and the confidence interval of the mission reliability are derived by the proposed approach. The mission reliability is compared with that of PMS without time redundancy. The results show that the mission reliability may be seriously under-estimated if time redundancy is not taken into consideration.
Original languageEnglish
Title of host publicationProceedings for the 2016 6th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering
Subtitle of host publicationJuly 25-28 2016 Jiuzhaigou, Sichuan, China
Number of pages6
Publication statusE-pub ahead of print - 28 Jul 2016
Event6th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering - Jiuzhaigou, China
Duration: 25 Jul 201628 Jul 2016
http://www.qr2mse.org/

Conference

Conference6th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering
Abbreviated titleQR2MSE 2016
CountryChina
CityJiuzhaigou
Period25/07/1628/07/16
Internet address

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