摘要
针对轧机机组运行时转速不断变化、负载波动大的特点,提出使用应力波技术来消除外界的干扰因素,反映设备内部真实的故障情况。在介绍了应力波的来源和特点、应力波系统分析工具、轧机减速机常见故障类型以及故障频率获取方法之后,提出了使用应力波技术诊断轧机机组机械故障时的基本流程。对于简单故障,使用系统故障知识库自动分析;对于复杂故障,使用人工分析和系统自动分析相结合的方式给出结论,并根据设备检修验证情况不断完善系统故障知识库。通过具体案例证明了应力波技术能够自动去除外界干扰,从复杂工况中提取出轧机机组设备真实的故障特征;也证明了应力波技术分析时采用的人机结合的分析方法,可以使最终的诊断结论更加准确。
In view of the continuous changes of the rotating speed of the rolling mill unit and the large fluctuation of the load,it is proposed to use the stress wave technology to eliminate the external interference factors and reflect the real fault conditions inside the equipment.Through introducing the source and characteristics of stress wave,stress wave system analysis tool,common fault types of rolling mill reducer and fault frequency acquisition method,the basic process of using stress wave technology to diagnose the mechanical fault of rolling mill unit is proposed.For simple faults,the system fault knowledge base is used for automatic analysis,while for complex faults,the combination of manual analysis and automatic systematic analysis is used to give conclusions,and the system fault knowledge base is continuously improved according to the equipment maintenance verification.A specific case proves that the stress wave technology can automatically remove the external disturbance,extract the true fault characteristics of the rolling mill unit equipment from the complex working conditions,and proves that the human-machine combined analysis method used in the stress wave technology analysis can make the final conclusion more accurate.
作者
李洪元
高帆
LI Hongyuan;GAO Fan(ChongQing ChuanYi Software Co. ,Ltd. ,Chongqing 401121,China)
出处
《自动化仪表》
CAS
2019年第7期60-63,共4页
Process Automation Instrumentation
关键词
应力波
轧机减速机
滚动轴承
在线监测
故障诊断
自动分析
Stress wave
Rolling mill reducer
Rolling bearing
Online monitoring
Fault diagnosis
Automatic analysis