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矿山机械设备故障诊断技术
引用本文:林汪洋. 矿山机械设备故障诊断技术[J]. 煤矿机电, 2019, 0(4): 76-78,81
作者姓名:林汪洋
作者单位:天地科技股份有限公司上海分公司
摘    要:矿山机械设备故障诊断是设备健康监测与管理技术的核心内容之一,准确的故障诊断不仅能让用户及时获取设备运行状态,而且给从事矿山机械设备的故障诊断和维修人员提供了有力的技术支持。重点阐述了矿山机械设备故障产生的原因、设备故障诊断的方法和研究现状等,归纳和比较了各类诊断方法的优势和局限性,探讨了机械设备故障诊断技术研究的发展趋势。

关 键 词:矿山机械设备  故障诊断  振动监测  无损检测  人工智能诊断

Fault Diagnosis Technology of Mine Machinery Equipment
LIN Wangyang. Fault Diagnosis Technology of Mine Machinery Equipment[J]. Colliery Mechanical & Electrical Technology, 2019, 0(4): 76-78,81
Authors:LIN Wangyang
Affiliation:(Shanghai Branch, Tiandi Science & Technology Co., Ltd., Shanghai 200030, China)
Abstract:Fault diagnosis of mining machinery equipment is one of the core contents of equipment health monitoring and management technology. Accurate fault diagnosis not only can enable users to get the operation status of equipment in time, but also can provide strong technical support for fault diagnosis and maintenance personnel engaged in mining machinery and equipment. The causes, methods and research status of fault diagnosis of mining machinery and equipment have been expounded emphatically, the advantages and limitations of various diagnostic methods have been summarized and compared, and the development trend of fault diagnosis technology for mechanical equipment has been discussed.
Keywords:mine machinery equipment  fault diagnosis  vibration monitoring  nondestructive examination  artificial intelligence diagnosis
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