DocumentCode
1390783
Title
Fault detection and diagnosis of rotating machinery
Author
Loparo, Kenneth A. ; Adams, M.L. ; Lin, Wei ; Abdel-Magied, M. Farouk ; Afshari, Nadar
Author_Institution
Case Western Reserve Univ., Cleveland, OH, USA
Volume
47
Issue
5
fYear
2000
fDate
10/1/2000 12:00:00 AM
Firstpage
1005
Lastpage
1014
Abstract
A model-based approach to the detection and diagnosis of mechanical faults in rotating machinery is studied in this paper. For certain types of faults, for example, raceway faults in rolling element bearings, an increase in mass unbalance, and changes in stiffness and damping, algorithms suitable for real-time implementation are developed and evaluated using computer simulation
Keywords
damping; electric machines; fault diagnosis; machine bearings; machine theory; computer simulation; damping; fault detection; fault diagnosis; mass unbalance; mechanical faults; model-based approach; raceway faults; rolling element bearings; rotating machinery; stiffness; Chaos; Condition monitoring; Damping; Fault detection; Fault diagnosis; Filters; Machinery; Rolling bearings; Rotating machines; Vibrations;
fLanguage
English
Journal_Title
Industrial Electronics, IEEE Transactions on
Publisher
ieee
ISSN
0278-0046
Type
jour
DOI
10.1109/41.873208
Filename
873208
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