Vacuum dry pump residual life prediction method and device based on incremental training and medium

The invention provides a vacuum dry pump residual life prediction method and device based on incremental training and a medium, and relates to the technical field of machine equipment health monitoring. Inputting the feature data into a pre-trained incremental learning prediction model for residual life prediction, and obtaining a prediction result; wherein the pre-trained incremental learning prediction model is obtained through training by the following steps: obtaining a historical data set of a plurality of downtime vacuum dry pumps, and obtaining a sample data set after feature processing; constructing an initialized incremental learning prediction model according to the sample data set; and continuously receiving new receipts, inputting the new receipts as a new training sample data set into the initialized incremental learning prediction model for incremental training, and updating the weight of the model by adopting a Li ghtGBM incremental learning method to adapt to the new data so as to obtain an up