INCREMENTAL DEVICE FAULT DIAGNOSIS METHOD

An incremental device fault diagnosis method, using a trained fault diagnosis model to process data to be diagnosed having a new sample influx, to obtain a fault diagnosis result of a device. A construction method for the fault diagnosis model comprises: 1) constructing a complete sample set; 2) constructing an initial fault diagnosis model, and training the initial fault diagnosis model by using the complete sample set; 3) selectively retaining important sample subsets by using a sample retention method; 4) during the new sample influx, constructing an intermediate fault diagnosis model on the basis of the structure and parameters of the initial fault diagnosis model; and 5) on the basis of a knowledge distillation algorithm, jointly training the intermediate fault diagnosis model by using a new sample set and the important sample subsets, and obtaining and testing a final fault diagnosis model. The present invention realizes effective learning of new samples and retention of old samples, so that not only is