李宏坤

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:机械工程学院

学科:机械电子工程

办公地点:机械工程学院(大方楼)7025房间

联系方式:0411-84706561-8048

电子邮箱:lihk@dlut.edu.cn

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Condition monitoring and fault diagnosis methods for low-speed and heavy-load slewing bearings: a literature review

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论文类型:期刊论文

发表时间:2017-08-01

发表刊物:JOURNAL OF VIBROENGINEERING

收录刊物:SCIE、EI

卷号:19

期号:5

页面范围:3429-3444

ISSN号:1392-8716

关键字:large slewing bearings; low-speed; heavy-load; condition monitoring; fault diagnosis

摘要:Low-speed and heavy-load slewing bearings are applied broadly for major mechanical equipment. Compared with ordinary bearings, large slewing bearings have complex structures and work in variable environments. In order to increase productivity, reduce maintenance costs, and ensure the safety of people and equipment, it is of great importance to monitor and diagnose faults in real time. This paper aims at providing a state-of-the-art review on methods for condition monitoring and fault diagnosis of low-speed and heavy-load slewing bearings, including methods based on vibration analysis, acoustic emission technique, oil condition and temperature variation. Additionally, this paper discusses advantages and disadvantages of different methods. Finally, the current needs and challenges are presented to provide a reference for future research.