The invention discloses a new energy remote test equipment fault diagnosis method based on data mining, including the steps of obtaining the characteristic information parameters of equipment on site,building a database, building an equipment fault data model and an equipment normal running data model according to equipment running data source mining, making a fault diagnosis analysis of abnormaldata, issuing a warning for a fault, determining the cause of the fault, and the like. In view of the problems such as the complex structure of remote test equipment, the dynamic instability of running data, the serious cross impact of equipment faults and the difficulty in fault locating and warning, the method combines the offline modeling, the data mining technology and the Internet technologyto help the operation and maintenance personnel check faults quickly and to quantify the economic risk, safety risk and maintenance risk brought about by complex faults produced by the cross impact of covert faults and overt faults and control the spread of the covert faults of large complex detection equipment in time. The method has the advantages of high diagnosis accuracy, high speed, significantly improved maintenance efficiency, lower maintenance cost, and the like.