面向健康保障的制造系统预测性维修决策模型

To ensure that the manufacturing system can accomplish the production tasks stably and output high quality products, a decision-making method of predictive maintenance for health protection was proposed. The operation process of complex manufacturing systems was comprehensively described from three aspects:task execution states, equipment performance states and product quality states. By considering the multi-state of equipment performance and variability of task requirements, a prognosis model of dynamic mission reliability was established, and the quantification index of quality deviation to realize the vector expression of product quality was put forward. Taking the mission reliability as the decision variable and integrating the output product quality control, the maintenance strategy was optimized with the goal of minimizing the total production cost in the mission cycle. A method validation was performed with an engine cylinder head manufacturing system as the example, and final results showed that the proposed method achieved approximately 23.67% and 18.41% cost saving over periodic preventive maintenance and conventional predictive maintenance respectively.