Motor fault diagnosis method and system based on GRU network stator current analysis

The invention provides a motor fault diagnosis method based on GRU network stator current analysis. The method comprises the steps of collecting stator current variable data; wirelessly transmitting and storing the acquired stator current variable data to a cloud database; preprocessing collected stator current variable data sets, and dividing all the data sets into multiple groups of training, verification and test sets; in the working state of a three-phase induction motor, modeling the acquired stator current variable data by using a GRU neural network; updating GRU model parameters by adopting an Adam adaptive learning rate method; carrying out sequence division on training set data according to GRU input dimensions, sending data of each sampling point into a GRU unit, carrying out feature extraction by the GRU, starting to train the model, and testing a verification set to further debug GRU model hyper-parameters; taking the features extracted by the GRU as the input of a full connection layer; and perfo