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作 者:田微 Wei Tian(Hegang Group Supply Chain Management Co.,Ltd.,Tangshan,Hebei 063000)
机构地区:[1]河钢集团供应链管理有限公司,河北唐山063000
出 处:《新疆钢铁》2025年第1期243-245,共3页Xinjiang Iron and Steel
摘 要:本文深入探讨了新形势下钢铁冶炼机械设备的故障诊断及处理措施。文章分析了钢铁冶炼机械设备故障诊断的现状,详细介绍了数字模型构建、信号处理、人工智能算法及辅助诊断技术等多种故障诊断方法。针对钢铁冶炼机械设备中常见的转子不平衡、齿轮故障、滚动轴承故障等问题,提出了具体的处理措施,旨在提高钢铁冶炼机械设备的可靠性和稳定性,降低维修成本,提升生产效率,为钢铁冶炼行业的可持续发展提供有力支持。This article deeply explores the fault diagnosis and treatment measures of steel smelting machinery and equipment under the new situation.The article analyzes the current situation of fault diagnosis in steel smelting machinery equipment,and provides a detailed introduction to various fault diagnosis methods such as mathematical model construction,signal processing,artificial intelligence algorithms,and auxiliary diagnostic techniques.Specific measures have been proposed to address common issues such as rotor imbalance,gear failure,and rolling bearing failure in steel smelting machinery equipment.The aim is to improve the reliability and stability of steel smelting machinery equipment,reduce maintenance costs,enhance production efficiency,and provide strong support for the sustainable development of the steel smelting industry.
分 类 号:TF307[冶金工程—冶金机械及自动化]
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