Title :
Adjustable Speed Drive Bearing Fault Detection via Wavelet Packet Decomposition
Author :
Teotrakool, Kaptan ; Devaney, Michael J. ; Eren, Levent
Author_Institution :
Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO
Abstract :
Adjustable speed drives perform many vital control functions in the industry serving in such diverse applications as rolling mills and variable speed compressors, fans and pumps. When an adjustable speed drive fails due to a bearing failure, it is usually catastrophic. Bearing defects introduce vibration anomalies that alter the current characteristic frequencies. This paper addresses the application of motor current signature analysis using wavelet packet decomposition to detect bearing fault in adjustable speed drives
Keywords :
failure analysis; fault diagnosis; machine bearings; motor drives; wavelet transforms; adjustable speed drive bearing; bearing defects; bearing failure; fault detection; motor current signature analysis; rolling mills; variable speed compressors; vibration anomalies; wavelet packet decomposition; Acceleration; Fans; Fault detection; Frequency; Instrumentation and measurement; Stators; Variable speed drives; Vibrations; Wavelet analysis; Wavelet packets; Adjustable speed drive; bearing fault detection; motor current signature analysis (MCSA); wavelet packet decomposition;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE
Conference_Location :
Sorrento
Print_ISBN :
0-7803-9359-7
Electronic_ISBN :
1091-5281
DOI :
10.1109/IMTC.2006.328356
