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
fDate :
10/1/2000 12:00:00 AM
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;
Journal_Title :
Industrial Electronics, IEEE Transactions on
