高线轧机轴承振动在线监测与故障诊断分析  

On-line Monitoring and Fault Diagnosis Analysis of Bearing Vibration of High Wire Rolling Mill

作　　者：夏冬梅[1] XIA Dongmei(Foshan Polytechnic,Foshan 528000)

机构地区：[1]佛山职业技术学院,佛山528000

出　　处：《现代制造技术与装备》2018年第3期154-154,156,共2页Modern Manufacturing Technology and Equipment

摘　　要：采用单一、独立的监测诊断方式已经无法满足大工业化的生产需求,实现信号数据的存储、特征提取和共享,开展设备状态监测和技术创新,是科技发展的主要趋势,互联网/物联网技术、云计算技术的快速发展已经为这一设想提供了可能。在线采集高线轧机轴承振动信号,提取故障特征,再基于高线轧机振动故障机理进行故障诊断分析,并提供行之有效的解决方案。Using a single,independent monitoring and diagnosis has been unable to meet the industrial production demand,realize the signal feature extraction and data storage,sharing,carry out condition monitoring of equipment and technology innovation,is the main trend of the development of science and technology,the rapid development of Internet/networking technology,cloud computing technology has provided the idea may.Online acquisition of vibration signals of highp esed rolling mill bearings,extract fault characteristics,and thebna sed on high-speed line mill vibration failure mechanism for fault diagnosis and analysis,and provide effective solutions.

关 键 词：轴承振动 在线监测 故障诊断 

分 类 号：TG333.62[金属学及工艺—金属压力加工]