TY  - EJOU
AU  - Shi, Dongyan 
AU  - Ma, Hui 
AU  - Ma, Chunlong 

TI  - A Dynamic Maintenance Strategy for Multi-Component Systems Using a Genetic Algorithm
T2  - Computer Modeling in Engineering \& Sciences

PY  - 2023
VL  - 134
IS  - 3
SN  - 1526-1506

AB  - In multi-component systems, the components are dependent, rather than degenerating independently, leading to changes in maintenance schedules. In this situation, this study proposes a grouping dynamic maintenance strategy. Considering the structure of multi-component systems, the maintenance strategy is determined according to the importance of the components. The strategy can minimize the expected depreciation cost of the system and divide the system into optimal groups that meet economic requirements. First, multi-component models are grouped. Then, a failure probability model of multi-component systems is established. The maintenance parameters in each maintenance cycle are updated according to the failure probability of the components. Second, the component importance indicator is introduced into the grouping model, and the optimization model, which aimed at a maximum economic profit, is established. A genetic algorithm is used to solve the non-deterministic polynomial (NP)-complete problem in the optimization model, and the optimal grouping is obtained through the initial grouping determined by random allocation. An 11-component series and parallel system is used to illustrate the effectiveness of the proposed strategy, and the influence of the system structure and the parameters on the maintenance strategy is discussed.
KW  - Condition-based maintenance; predictive maintenance; maintenance strategy; genetic algorithm; NP-complete problems

DO  - 10.32604/cmes.2022.022444