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电气工程与自动化

Journal of Electrical Engineering and Automation

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Journal of Electrical Engineering and Automation. 2025; 4: (3) ; 10.12208/j.jeea.20250094 .

Fault diagnosis and maintenance management strategy of mine electromechanical equipment
矿山机电设备的故障诊断与维护管理策略

作者: 唐鑫 *

大方县广木煤矿有限公司 贵州毕节

*通讯作者: 唐鑫,单位:大方县广木煤矿有限公司 贵州毕节;

引用本文: 唐鑫 矿山机电设备的故障诊断与维护管理策略[J]. 电气工程与自动化, 2025; 4: (3) : 114-116.
Published: 2025/3/19 12:05:57

摘要

矿山机电设备作为矿山生产的重要组成部分,其运行状态直接影响矿山生产效率与安全。针对矿山机电设备故障频发、维修成本高及维护管理复杂等问题,本文提出了一套系统的故障诊断与维护管理策略。通过引入先进的监测技术与智能诊断方法,实现故障的早期预警和精准定位,提升设备维护的科学性和及时性。同时,结合合理的维护管理制度,优化资源配置,降低维护成本,提高设备可靠性和矿山整体生产效益。该策略为矿山机电设备的稳定运行提供了有效保障。

关键词: 矿山机电设备;故障诊断;维护管理;智能监测;设备可靠性

Abstract

Mining electromechanical equipment, as a critical component of mine production, directly impacts the efficiency and safety of mining operations. In response to frequent failures, high maintenance costs, and complex management issues associated with mining electromechanical equipment, this paper proposes a systematic approach for fault diagnosis and maintenance management. By introducing advanced monitoring technologies and intelligent diagnostic methods, it aims to achieve early warning and precise location of faults, enhancing the scientific rigor and timeliness of equipment maintenance. Additionally, by integrating reasonable maintenance management systems, resource allocation is optimized, maintenance costs are reduced, and equipment reliability and overall production efficiency of the mine are improved. This strategy provides effective assurance for the stable operation of mining electromechanical equipment.

Key words: Mine mechanical and electrical equipment; Fault diagnosis; Maintenance management; Intelligent monitoring; Equipment reliability

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