Method of design for synergy between high-frequency data transmission and precision-adaptive fault diagnosis

A method of design for synergy between high-frequency data transmission and precision-adaptive fault diagnosis, the method comprising the steps of:

• S101:
• collecting high-frequency data, pre-processing the high-frequency data, writing the pre-processed high-frequency data into a dataset and transmitting it to a cloud server, by an edge gateway;
• S102:
• receiving the dataset transmitted from the edge gateway and training an Informer long-sequence prediction model using the dataset, by the cloud server;
• S103:
• loading the trained Informer long-sequence prediction model synchronously to the cloud server and the edge gateway;
• S104:
• implementing a long-sequence dual prediction method to make predictions for the high-frequency data, calculating deviations of predicted values from actual values and transmitting actual values whose deviations exceed a threshold to the cloud server, by the edge gateway;
• S105:
• implementing the long-sequence dual prediction method to make predictions for the high-frequency data and recovering the high-frequency data based on the received data, by the cloud server;
• and
• S106:
• inputting the recovered high-frequency data and a DPS length associated with the high-frequency data to a precision-adaptive fault diagnosis model by the cloud server and outputting a fault diagnosis result online by the precision-adaptive fault diagnosis model.