Self-learning method for equipment performance analysis and prediction

The invention provides a self-learning method for equipment performance analysis and prediction, and the method comprises the following steps: S1, obtaining a historical equipment data set and a target equipment data set through a data reading module; s2, constructing a self-learning module, constructing a self-learning model for equipment performance analysis and prediction based on deep learning or a traditional machine learning algorithm, wherein the model learns knowledge and skills from historical equipment data and migrates and applies the knowledge and skills to target equipment; and S3, constructing a performance prediction module, and performing performance analysis and prediction on the target equipment according to the trained self-learning module. According to the self-learning method for equipment performance analysis and prediction, knowledge can be learned from historical tasks and migrated and applied to new tasks, high-precision prediction can be conducted on the performance of target equipme