SAE Fault Diagnosis Method for Mine Hoist Brake System
In order to make full use of the monitoring data of the mine hoist during operation and accurately diagnose the brake system,a fault diagnosis method based on Sparse Auto-Encoder(SAE)is proposed.Through the simulated failure test,the failure data is obtained,and the training set and the test set are generated after standardized processing.And add the Dropout regulariza-tion method to optimize the fault diagnosis model,and use the gradient descent method to optimize the model parameters accord-ing to the training results.Finally,the test data set is used to compare the diagnosis model before and after optimization.The re-sults show that the hoist fault diagnosis method proposed in this paper reduces the over-fitting phenomenon and the workload of obtaining label data,and the average classification accuracy of fault types can reach 96%.This method uses the monitoring data of the hoist for diagnosis,without subjective intervention of personnel,and can accurately diagnose the fault of the mine hoist.
万方数据
维普
