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掘进机电设备故障诊断系统研究

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针对当前掘进机电设备故障率高、故障诊断时间长的现状,对其进行了详细的总结,并提出了基于传感器网络的实时监测与机器学习的故障诊断方法,建立了结合传感器网络、机器学习和专家系统等技术的诊断系统,为提高掘进机电设备的可靠性和缩短故障排除时间奠定了基础.
Fault Diagnosis System of Electromechanical Excavating Equipment
The current situation of high failure rate and long fault diagnosis time of electromechanical excavating equipment was summarized in detail,and a fault diagnosis method based on real-time monitoring and machine learning based on sensor network was proposed,and a diagnosis system combining sensor network,machine learning and expert system was established,laying a foundation for improving the reliability of the excavating electromechanical equipment and shortening the troubleshooting time.

excavating machineelectromechanical equipmentfault diagnosissystem maintenance

赵思远

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华阳新材料科技集团有限公司二矿,山西 阳泉 045000

掘进机 机电设备 故障诊断 系统维护

2024

能源与节能
山西省能源研究会 山西省节能研究会

能源与节能

影响因子:0.561
ISSN:2095-0802
年,卷(期):2024.(9)