Signal analysis of vibration measurements for condition monitoring of bearings

Chebil, Jalel and Hrairi, Meftah and Abushikhah, Nazih (2010) Signal analysis of vibration measurements for condition monitoring of bearings. In: International Conference on Mathematical Applications in Engineering (ICMAE’10), 3 - 4 Aug, 2010, Kuala Lumpur.

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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:	Conference or Workshop Item (Full Paper)
Additional Information:	4980/2034
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 Kulliyyah of Engineering > Department of Mechanical Engineering
Depositing User:	Prof. Dr. Meftah Hrairi
Date Deposited:	19 Sep 2011 14:46
Last Modified:	19 Sep 2011 14:46
URI:	http://irep.iium.edu.my/id/eprint/2034

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