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
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;
Conference_Titel :
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4778-1
DOI :
10.1109/ICSMC.1998.725118
