Analysis of Mining Equipment Fault Prediction and Diagnosis Strategies Based on Deep Learning
This paper expounds the application of deep learning methods in mining equipment fault prediction and diagnosis.It constructs a fault prediction method based on convolutional neural networks and long short-term memory network models through data collection,preprocessing,and feature extraction,achieving fault recognition,cause analysis,and repair strategies.