For a long time, constrained by technological development, power enterprises still adopt regular maintenance and accident elimination mode for equipment maintenance, but this way causes a great deal of waste and unnecessary loss. Condition based maintenance for power plants is always a maintenance mode expected by electric power enterprises. With the development of artificial intelligence technology, especially the application of in-depth learning in industrial field, the application of artificial intelligence technology in the field of power generation is gradually increasing, and then the characteristic values representing the essential attributes of industrial equipments are obtained, which can be used as the criteria for judging the health status of equipments, so that condition-based maintenance can be implemented in power plants. In this paper, the characteristic value was used to evaluate the turbine state of a hydropower station, and the fault state of the equipment was found accurately and timely, indicating the application effect is good.

power plants equipment;condition based maintenance;state monitoring;characteristic value;artificial intelligence;fault state