摘要
阐述深度学习方法在采矿设备故障预测与诊断中的应用.通过数据收集、预处理和特征提取,构建基于卷积神经网络和长短期记忆网络模型的故障预测方法,实现故障识别、原因分析和修复策略.
Abstract
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.
维普
万方数据