A predictive maintenance method of series-parallel system based on condition monitoring

In this paper, a predictive maintenance method for maintenance sequence planning problem of series-parallel systems is proposed, which minimizes the system maintenance cost based on the opportunity maintenance. Firstly, the influence relationship diagram is established by considering the topological structure relationship and the function influence relationship. Secondly, with the condition monitoring information of each equipment, the predictive maintenance strategy and optimal maintenance sequence of series-parallel system are presented dynamically by combining the method of life time prediction and maintenance planning. Finally, a splice assembly production line is taken as an example to validate the reasonableness and economy of predictive maintenance strategy. This method can reduce the failure rate and shorten the total downtime to improve the reliability of equipment and profitability of enterprises.