Title :
Bandstop filtering for interference removal in bearing fault detection
Author :
Zhang, Yi ; Liang, Ming
Author_Institution :
Dept. of Mech. Eng., Univ. of Ottawa, Ottawa, ON, Canada
Abstract :
Interference components in the faulty bearing signals have been one of the major obstacles in detecting bearing faults featuring weak impulses in the vibration signals. This paper reports a band stop (BS) method to remove such interferences. The BS method is composed of two window merging schemes to identify the interference frequency bands and to preserve fault frequency bands. Our simulation analysis has shown that the proposed method compares favorably with several existing methods. Its effectiveness in bearing fault detection has also been demonstrated using experimental data.
Keywords :
fault diagnosis; filtering theory; mechanical engineering computing; rolling bearings; vibrations; band stop method; bandstop filtering; bearing fault detection; fault frequency band; faulty bearing signal; interference frequency band; interference removal; rolling element bearings; vibration signal; window merging scheme; Fault detection; Filtering; Interference; Merging; Noise measurement; Resonant frequency; Time frequency analysis; Bandstop filtering; fault detection; interference removal; kurtosis; rolling element bearing;
Conference_Titel :
Prognostics and Health Management (PHM), 2012 IEEE Conference on
Conference_Location :
Denver, CO
Print_ISBN :
978-1-4673-0356-9
DOI :
10.1109/ICPHM.2012.6299532