期刊文献+

基于AI技术的矿山矿井下机电设备故障检修工艺研究

Research on Fault Maintenance Technology of Mechanical and Electrical Equipment in Underground Mine Based on AI Technology
下载PDF
导出
摘要 在矿山矿井下的机电设备运行中,故障检修是保证安全生产的关键环节。人工智能(Artificial Intelligence,AI)技术的发展,为故障检修提供了技术支持。从基于机器学习和深度学习的故障诊断技术,到AI技术在矿山机电设备故障检修工艺中的融入,详细探讨AI技术在矿山矿井机电设备故障检修中的应用,包括传感器应用、数据采集系统的设计、检修方案的智能生成与优化,并验证技术实现过程,为未来矿山矿井下机电设备故障智能化检修提供技术支持。 In the operation of mechanical and electrical equipment under the mine,fault maintenance is the key link to ensure safe production.With the development of artificial intelligence(AI)technology,the application in the field of troubleshooting provides technical support.This paper discusses in detail the application of AI technology in troubleshooting of electromechanical equipment in mines,from the fault diagnosis technology based on machine learning and deep learning to the integration of AI technology in the troubleshooting process of electromechanical equipment in mines,including sensor application,data acquisition system design,intelligent generation and optimization of maintenance scheme,and verify the technology realization process,to provide technical support for intelligent maintenance of mechanical and electrical equipment faults in mine in the future.
作者 周扬 李彪 ZHOU Yang;LI Biao(Jining No.2 Coal Mine,Yankuang Energy Group Co.,Ltd.,Jining 272100;Yankuang Coal Mining Engineering Co.,Ltd.(Comprehensive Center),Zoucheng 273500)
出处 《现代制造技术与装备》 2024年第10期185-187,共3页 Modern Manufacturing Technology and Equipment
关键词 人工智能(AI)技术 矿山矿井 机电设备 故障检修工艺 Artificial Intelligence(AI)technology mine mechanical and electrical equipment troubleshooting process
  • 相关文献

参考文献13

二级参考文献87

共引文献36

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部