Title :
Current-based algorithm for mechanical fault detection in induction motors with arbitrary load conditions
Author :
Obaid, Ramzy R. ; Habetler, Thomas G.
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
Mechanical faults in induction motors can be detected by monitoring specific components in the stator current frequency spectrum. Previous work tested some mechanical conditions for the cases of no-load and full-load conditions in small induction motors, assuming that the effect of load on the detection scheme between these two conditions is linear. This paper presents an algorithm for detecting mechanical conditions in induction motors under any load condition using spectral analysis of the stator current. The proposed algorithm takes into account the load related abnormalities and resonance by classifying the load-levels into bins and calculating a baseline for each load bin.
Keywords :
condition monitoring; fault location; induction motors; machine testing; spectral analysis; stators; arbitrary load conditions; condition monitoring; current-based algorithm; full-load conditions; induction motors; load condition; load related abnormalities; load related resonance; load-levels; mechanical conditions; mechanical fault detection; no-load conditions; spectral analysis; stator current; stator current frequency spectrum; Condition monitoring; Electrical fault detection; Fault detection; Frequency; Induction motors; Resonance; Shafts; Stators; Testing; Vibrations;
Conference_Titel :
Industry Applications Conference, 2003. 38th IAS Annual Meeting. Conference Record of the
Print_ISBN :
0-7803-7883-0
DOI :
10.1109/IAS.2003.1257726