Research on Intelligent Maintenance Decision for Flexible Electronic Manufacturing Equipment Based on Deep Reinforcement Learning

In order to achieve the intelligent maintenance of flexible electronic manufacturing equipment, this paper constructs an intelligent maintenance decision model based on deep reinforcement learning by combining a lifetime prediction network and Markov decision process. First, the life prediction network extracts a feature map characterizing the operating state of the equipment based on the raw data input from the equipment; the intelligent decision network then takes the feature map as an environmental input and uses the agent in the network to output maintenance actions for the equipment; finally, through the continuous iterative update of the life prediction network and the intelligent decision network, the decision model can continuously optimize the maintenance decision of the equipment, thus assisting the equipment to complete the maintenance decision task. Experiments on the bearing dataset show that the proposed model can effectively implement intelligent maintenance decision for the equipment.