Joint optimization of maintenance and resource preparation of system with multi-indicator degradation based on multiple failure mode division

With the increasing complexity of industrial systems, such as rolling mills, fluids, and pavements often require multiple indicators to reflect the health state. Multiple indicators correspond to multiple fault types, and multiple fault types further correspond to multiple maintenance types, resulting in multiple maintenance times, costs, effects, and demands on maintenance resources. This research focuses on the joint optimization of maintenance and resource preparation for systems with multi-indicator degradation based on multiple failure mode division. Firstly, the joint degradation modeling is conducted based on Copula model, and multiple fault types are defined based on the multiple failure mode division model for the system with two indicator degradation. Secondly, a joint strategy of maintenance and resource preparation is developed. Then, the cost rate model is established to determine the optimal inspection period and resource preparation thresholds, and a probability model of combined state is proposed recursively for relevant probability solutions. Finally, the correctness and efficiency of the model are verified by taking the mill rolls as a case study. The results show that the joint strategy can reduce the maintenance cost compared the strategy of preparing maintenance resources after system fault.