Group maintenance strategy of multi-component system based on WOA algorithm

Group maintenance (GM) is a maintenance method that saves maintenance costs on the premise of ensuring the overall availability of the system, and is widely used in the maintenance strategy of complex systems. However, in the actual maintenance scenario, the number of GM groups is too large, and it is difficult to find the grouping scenario of the optimal solution. Artificial intelligence is usually needed to analyze the operation data of a large number of sensors and then determine it through the optimization of intelligent algorithms. The heuristic intelligent optimization algorithm can determine the optimal maintenance scenario and ensure that the average maintenance cost rate of the system in long-term maintenance reaches the lowest. This paper discusses the modeling of the grouping method of group maintenance under the premise of opportunity maintenance (OM). In order to find the optimal maintenance strategy, a scientific and efficient heuristic algorithm is used to optimize the grouping of GM. Finally, the whale optimization algorithm (WOA) is innovatively used to search for the optimal group maintenance scenario and compared with the conventional GM method to determine the superiority of the method.