Abstract:Based on the operation and maintenance data of power equipment in a certain area within three years, this paper explains the probability of equipment failure and maintenance costs, and proposes a method of power equipment maintenance cost optimization based on survival analysis model, and analyzes the key influencing factors of power equipment failure and maintenance. Based on the historical operation and maintenance data of power equipment, we observe the time interval between the equipment placing into production and failure, analyze the impact of various data features of power equipments upon failure rate, establish Cox proportional hazard analysis model, and finally obtain the function of survival rate based on the baseline survival rate, which can be used for predicting the failure rate and maintenance cost for power equipments. The experimental results show that this paper has practical significance and application value for predicting the failure rate of power equipment and optimizing the maintenance cost of equipment.