Abstract:The fault data of power equipment in the past several years are summarized, and the method of large data analysis is used to introduce the fault prediction technology into the practice of preventive maintenance, and a preventive maintenance strategy based on large data is proposed. First, the residual life prediction results are obtained from the state detection information, and the preventive maintenance strategy is established based on the remaining life of preventive maintenance. Then, the optimal preventive maintenance model of the power equipment, such as the cost of maintenance, the sale of electricity and the loss of the power outage, is taken into consideration, and the optimal preventive maintenance threshold and the interval of maintenance prediction are obtained. Finally, by introducing an example, the optimal prediction period of the power equipment is obtained by the optimization simulation of the model. The average maintenance cost of the power equipment is minimized, the feasibility and effectiveness of the model are verified, thus the overall benefit of the power enterprise is improved.