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Fault diagnostic expert system of rolling element bearing based on CLIPS
Yan, Changfeng1; Ma, Shimin1; Zhou, Guangrui1,2; Fang, Jianfang1
刊名Journal of Information and Computational Science
2013-07-01
卷号10期号:10页码:3053-3062
关键词Bearings (machine parts) Failure analysis Roller bearings Basic structure Bearing fault CLIPS Development process Diagnostic efficiency Fault diagnostics Rolling bearings Rolling Element Bearing
ISSN号15487741
DOI10.12733/jics20101806
英文摘要In general, the fault diagnosis for rolling bearing is overly dependent on human expert. Expert system based on CLIPS for analysis and diagnosis of rolling bearing can not only predict faults of bearing to avoid some unnecessary losses, but also help the operators diagnose bearing faults quickly and give some advices to reduce excessive dependence on human expert and improve the diagnostic efficiency. The basic structure and development process of the expert system of rolling bearing fault diagnosis using CLIPS are addressed in this paper. The expert system is tested and verified by the experiments. Copyright © 2013 Binary Information Press.
语种英语
出版者Binary Information Press, Flat F 8th Floor, Block 3, Tanner Garden, 18 Tanner Road, Hong Kong
内容类型期刊论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/113652]  
专题机电工程学院
作者单位1.School of Mechanical and Electronical Engineering, Lanzhou University of Technology, Lanzhou 730050, China;
2.School of Mechanical and Automotive Engineering, Hefei University of Technology, Hefei 230009, China
推荐引用方式
GB/T 7714
Yan, Changfeng,Ma, Shimin,Zhou, Guangrui,et al. Fault diagnostic expert system of rolling element bearing based on CLIPS[J]. Journal of Information and Computational Science,2013,10(10):3053-3062.
APA Yan, Changfeng,Ma, Shimin,Zhou, Guangrui,&Fang, Jianfang.(2013).Fault diagnostic expert system of rolling element bearing based on CLIPS.Journal of Information and Computational Science,10(10),3053-3062.
MLA Yan, Changfeng,et al."Fault diagnostic expert system of rolling element bearing based on CLIPS".Journal of Information and Computational Science 10.10(2013):3053-3062.
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