DocumentCode
2177181
Title
Fault detection and diagnosis in rotating machinery
Author
Loparo, Kenneth A. ; Afshari, Nader ; Abdel-Magied, Mohammed
Author_Institution
Dept. of Syst. & Control Eng., Case Western Reserve Univ., Cleveland, OH, USA
Volume
3
fYear
1998
fDate
11-14 Oct 1998
Firstpage
2986
Abstract
The detection and diagnosis of mechanical faults in rotating machinery using a model-based approach is studied. For certain types of faults, for example raceway faults in rolling element bearings, increase in mass unbalance and changes in stiffness and damping, algorithms suitable for real-time implementation are developed and tested
Keywords
digital simulation; fault diagnosis; feature extraction; filtering theory; nonlinear filters; observers; statistical analysis; time series; damping; fault detection; 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
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location
San Diego, CA
ISSN
1062-922X
Print_ISBN
0-7803-4778-1
Type
conf
DOI
10.1109/ICSMC.1998.725118
Filename
725118
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