@inproceedings{3f8e58f833ed49ac9334901e28c9626f,
title = "Solution of Reliability of Multi-State k/n System with Arbitrary Distribution",
abstract = "The voting system is one of the important ways to improve system reliability by establishing redundancy. In order to break through the limitation of the assumption that components are independently and identically distributed or that components are exponentially distributed in the existing voting system, state-space method and recursive method were used to study n arbitrarily distributed components without considering maintenance. The reliability and MTTF of the 2-state A-out-of-n system were derived from the analysis of k ≥ (1+n)/2 and k<(1+n)/2. When considering multi-state, the relationship between the reliability of the system and the state of each component was analyzed, and the corresponding analytical formula was obtained. The Monte-Carlo method was used to sample and simulate each example, and the simulation results are compared with the analytic results. The error is less than 3\%, which proves the correctness of the relevant analytical formulas. This paper provides some theoretical support for the application and reliability design of k-out-of-n system in engineering.",
keywords = "arbitrary distribution, multi-state, reliability, state-space method, voting system",
author = "Xiaoxiao Li and Yufeng Sun and Guangyan Zhao and Xiangluan Dong",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 10th Prognostics and System Health Management Conference, PHM-Qingdao 2019 ; Conference date: 25-10-2019 Through 27-10-2019",
year = "2019",
month = oct,
doi = "10.1109/PHM-Qingdao46334.2019.8942905",
language = "英语",
series = "2019 Prognostics and System Health Management Conference, PHM-Qingdao 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Wei Guo and Steven Li and Qiang Miao",
booktitle = "2019 Prognostics and System Health Management Conference, PHAI-Qingdao 2019",
address = "美国",
}