Application of fault detection and health management in the optimization of power equipment management model
In order to solve the problems of single mode of power equipment management and lagging monitoring system in the building operation and maintenance stage,which lead to frequent major equipment failures and huge maintenance costs,the concept of fault prediction and health management is introduced,and the optimization model of power equipment health management is established by combining digital twin technology,and the remaining service life of power equipment is predicted by the intelligent algorithm.Finally,the transformer equipment in a public security building is selected for the example analysis,and the results show that the established model helps to delay the equipment failure point and enhance the remaining service life value of the equipment,which can provide a better management optimization model reference for the future building operation and maintenance stage of power equipment management.
power equipmentmanagement optimization modelfault prediction and health managementresidual life prediction
NETL
NSTL
万方数据
