
Study on the decision considering imperfect maintenance of multiple components based on the exponential distribution
Author(s) -
Guoying Pang,
Jia Liu,
Jun Li,
Yan Guo,
Xuemei Yuan
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1437/1/012098
Subject(s) - covariate , imperfect , copula (linguistics) , exponential distribution , component (thermodynamics) , exponential function , computer science , reliability (semiconductor) , reliability engineering , econometrics , mathematics , statistics , machine learning , engineering , mathematical analysis , philosophy , linguistics , physics , power (physics) , quantum mechanics , thermodynamics
The real-time monitoring and the high reliability system of multiple components are studied in the mechanical system as background information. The characteristics of copula among multiple component of different systems are considered. The information of affected components is monitoring as covariate. With the prediction model of remaining useful life (RUL)based on stochastic filtering theory, and the strategy of opportunity maintenance, the maintenance decision model of dynamic is studied on the prediction information of remaining useful life. Lastly, the relevant theories are verified by simulation.