Reliability Analysis of Random Fuzzy Unrepairable Systems | Zendy

Ying Liu | Zendy; Xiaozhong Li | Zendy; JianBin Li | Zendy

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Reliability Analysis of Random Fuzzy Unrepairable Systems

Author(s) -

Ying Liu,

Xiaozhong Li,

JianBin Li

Publication year - 2014

Publication title -

discrete dynamics in nature and society

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.264

H-Index - 39

eISSN - 1607-887X

pISSN - 1026-0226

DOI - 10.1155/2014/625985

Subject(s) - randomness , reliability (semiconductor) , mean time between failures , fuzzy logic , series (stratigraphy) , mathematics , computer science , reliability engineering , statistics , artificial intelligence , failure rate , engineering , paleontology , power (physics) , physics , quantum mechanics , biology

The lifetimes of components in unrepairable systems are considered as random fuzzy variablessince randomness and fuzziness are often merged with each other. Then we establish the fundamentalmathematical models of random fuzzy unrepairable systems, including series systems, parallel systems,series-parallel systems, parallel-series systems, and cold standby systems with absolutely reliable conversionswitches. Furthermore, the expressions of reliability and mean time to failure (MTTF) are given forthe above five random fuzzy unrepairable systems, respectively. Finally, numerical examples are given toshow the application in a lighting lamp system and a hi-fi system

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