首页|基于深度学习的采矿设备故障预测与诊断策略分析

基于深度学习的采矿设备故障预测与诊断策略分析

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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.
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.

deep learningfault predictionfault diagnosis

张帆

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辽宁省沈阳市康平县小康煤矿,辽宁 110500

深度学习 故障预测 故障诊断

2024

集成电路应用
上海贝岭股份有限公司

集成电路应用

影响因子:0.132
ISSN:1674-2583
年,卷(期):2024.41(3)
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