Open AccessStudy on Reliability Calculation of Repairable System Based on Monte-Carlo Simulation
Author(s) -
Chaowei Wang,
Hao Xun,
Qian Wu,
Qie Yutao,
Yuanyuan Fang
Publication year - 2019
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 - 10.1088/1742-6596/1284/1/012009
Subject(s) - reliability (semiconductor) , reliability engineering , monte carlo method , computer science , quality (philosophy) , phrase , systems design , engineering , mathematics , artificial intelligence , statistics , power (physics) , physics , philosophy , software engineering , epistemology , quantum mechanics
Nowadays, the complexity of engineering system grows with the higher requirement of quality. Reliability, one of the most important quality characteristics, has been drawn a lot of attention. The level of reliability decides whether the system can accomplish mission successfully or not, as well as the safety of system and operator. The reliability calculation (prediction) is the most important item in design phrase, as an approach to measure the reliability. There is much study which focuses on the unrepairable system, such as aircraft and satellite. The study presents a reliability calculation method for repairable system based on monte-carlo simulation. The inputs of reliability calculation, which are different from unrepairable system, are analysed firstly. Then, the simulation principles are introduced aiming at various reliability models. The effectiveness is verified through a case of vessel in the end, which shows the simulation calculation of repairable system is valid. It can make a contribution to the improvement of system reliability in design phrase and aid the developer to locate the weakness parts.