Fault diagnosis method and device for equipment lubricating system, equipment and medium

Abstract

The embodiment of the invention discloses a fault diagnosis method and device for an equipment lubricating system, equipment and a medium, and relates to the technical field of fault detection of the equipment lubricating system. The method comprises the steps of performing iterative training on a to-be-trained sample expansion model through an original data set of an equipment lubrication system, and updating parameters of a generator for multiple times based on association information of generated data and real data in each iterative process; if it is determined that iteration of the sample expansion model is completed, determining a model obtained after iteration as a trained sample expansion model; the trained sample expansion model is used for expanding a training sample of the equipment lubrication system to obtain expansion data, training the model for identifying the lubrication system fault based on the expansion data, and processing the detection data of the to-be-diagnosed lubrication system based on the trained model for identifying the lubrication system fault to obtain the to-be-diagnosed lubrication system fault. And obtaining the fault type of the to-be-diagnosed lubricating system.