Construction and optimization of a preventive maintenance model for multi-component degraded systems

• Main Authors: Huang Chao-Hui, 黃釗輝
• Other Authors: Wang Chun-Ho
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/18549678545369519566

博士 === 國防大學理工學院 === 國防科學研究所 === 102 === This study aims to construct an optimal preventive maintenance model for a multi-state degraded system under the condition that individual components or sub-systems can be monitored in real time. It was divided into two parts, given the requirement of minimum system availability and total maintenance cost, the total maintenance cost is minimized and system availability is maximized respectively by determining the maintenance activities of components in degraded states. The general non-homogeneous continuous-time Markov model (NHCTMM) and its analogous Markov reward model (NHCTMRM) are used to quantify the intensity of state transitions during the degradation process, allowing the determination of various performance indicators. The bound approximation approach is applied to solve the established NHCTMMs and NHCTMRMs, thus obtaining instantaneous system state probabilities to overcome their inherent computational difficulties. Furthermore, this study utilizes a genetic algorithm to optimize the proposed model. A military case illustrates the feasibility and practicability of the proposed approach.