Title :
An amplitude modulation detector for fault diagnosis in rolling element bearings
Author :
Stack, Jason R. ; Harley, Ronald G. ; Habetler, Thomas G.
Abstract :
As rolling element bearings begin to fail they induce characteristic fault frequencies in the vibration of an electric machine. These characteristic fault frequencies tend to modulate the electric machine´s frequencies of natural mechanical resonance. Therefore, an amplitude modulation (AM) detector, similar to the bispectrum, is proposed. This new tool is especially designed to detect instances of AM when the measured magnitude of the characteristic fault frequency itself is not significant (e.g. incipient bearing faults). A normalized version of this detector is also presented to assist in the interpretation of results. Computer simulations as well as actual bearing vibration data are used to confirm the proficiency of this proposed AM detector in identifying bearing faults.
Keywords :
amplitude modulation; condition monitoring; electric machine analysis computing; electric machines; fault diagnosis; machine bearings; signal detection; vibrations; amplitude modulation detector; bearing faults identification; bearing vibration data; computer simulations; condition monitoring; electric machine vibration; fault diagnosis; fault frequencies; incipient bearing faults; natural mechanical resonance; rolling element bearings; Amplitude modulation; Detectors; Electric machines; Electrical fault detection; Fault detection; Fault diagnosis; Frequency modulation; Resonance; Rolling bearings; Vibrations;
Conference_Titel :
IECON 02 [Industrial Electronics Society, IEEE 2002 28th Annual Conference of the]
Print_ISBN :
0-7803-7474-6
DOI :
10.1109/IECON.2002.1182940