摘要
回转支承是连铸机大包回转台上的重要旋转部件,其安全稳定性对于大包回转台正常运行至关重要,因此需要高效准确的轴承故障诊断方法来诊断回转支承在运行过程中出现的异常现象。传统的轴承故障诊断方法大多依赖于专家经验,不能完全解决这类问题,需要开发一套有效的轴承故障诊断系统。首先分析了回转支承的主要破坏形式,提出基于模糊决策的回转支承故障诊断方法。在此基础上设计了连铸机大包回转台状态监测与故障诊断系统的总体方案,并对监测的物理量、测点布置、数据采集方式、分析方法、软件系统的总体和功能模块设计等问题给出全面解决方案。系统在实际轴承故障诊断应用中运行稳定,实现了预定的设计目标。
The slewing bearing,as an important rotating part of the caster ladle turret,its security and stability of working is critical for normal operation of the ladle turret. Thus an efficient and accurate bearing fault diagnosis method is required for bearing abnormality diagnosing during operation. Since traditional bearing fault diagnosis methods mostly rely on the expert experiences which can not completely solve the problem,an effective bearing fault diagnosis system needs to be developed.The main damage forms of the slewing bearing were analyzed and the fault diagnosis method based on fuzzy decision was proposed. On the basis,an overall program of the caster ladle turret status monitoring and fault diagnosis system was designed.Comprehensive solutions for issues such as the monitoring physical quantities,measuring points arrangement,the data collection methods,the analysis methods,the overall design and function modules of the software system were presented. The system ran stable in practical bearing fault diagnostic applications and achieved the intended design goals.
出处
《机械设计与制造》
北大核心
2016年第2期49-51,55,共4页
Machinery Design & Manufacture
基金
武汉钢铁(集团)公司重大科技专项项目(钢政发[2010]9号2010-1-7-1)
关键词
回转支承
大包回转台
模糊决策
在线监测
故障诊断
Slewing Bearing
Ladle Turret
Fuzzy Decision
Online Monitoring
Fault Diagnosis