Signal analysis of vibration measurements for condition monitoring of bearings

Chebil, Jalel and Hrairi, Meftah and Abushikhah, Nazih (2011) Signal analysis of vibration measurements for condition monitoring of bearings. Australian Journal of Basic and Applied Sciences, 5 (1). pp. 70-78. ISSN 1991-8178

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Abstract

Rotating machinery is a common class of machinery in industry. The root cause of faults in rotating machinery is often faulty rolling element bearings. These rolling element bearings wear out easily due to the metal-metal contacts and create faults in the outer race, inner race, or balls. This study compares several techniques used for monitoring bearing condition. These techniques are based on the processing of vibrational data in the time-domain, frequency-domain, or time-frequency-domain. It was found that the discrete wavelet transform which is based on time-frequency analysis produces the best results.

Item Type:	Article (Journal)
Additional Information:	6110/160
Uncontrolled Keywords:	rolling element bearings; inner and outer race faults; vibration signals; signals processing; wavelet.
Subjects:	T Technology > TJ Mechanical engineering and machinery
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering
Depositing User:	Prof. Dr. Meftah Hrairi
Date Deposited:	27 May 2011 12:24
Last Modified:	31 Jan 2012 12:08
URI:	http://irep.iium.edu.my/id/eprint/160

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