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Signal analysis of vibration measurements for condition monitoring of bearings

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...

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Main Authors: Chebil, Jalel, Hrairi, Meftah, Abushikhah, Nazih
Format: Conference or Workshop Item
Language:English
Published: 2010
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://irep.iium.edu.my/2034/1/ICMAE%231.pdf
http://irep.iium.edu.my/2034/
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spelling my.iium.irep.20342011-09-19T06:46:13Z http://irep.iium.edu.my/2034/ Signal analysis of vibration measurements for condition monitoring of bearings Chebil, Jalel Hrairi, Meftah Abushikhah, Nazih TJ Mechanical engineering and machinery 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. 2010-08 Conference or Workshop Item REM application/pdf en http://irep.iium.edu.my/2034/1/ICMAE%231.pdf 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.
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Chebil, Jalel
Hrairi, Meftah
Abushikhah, Nazih
Signal analysis of vibration measurements for condition monitoring of bearings
description 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.
format Conference or Workshop Item
author Chebil, Jalel
Hrairi, Meftah
Abushikhah, Nazih
author_facet Chebil, Jalel
Hrairi, Meftah
Abushikhah, Nazih
author_sort Chebil, Jalel
title Signal analysis of vibration measurements for condition monitoring of bearings
title_short Signal analysis of vibration measurements for condition monitoring of bearings
title_full Signal analysis of vibration measurements for condition monitoring of bearings
title_fullStr Signal analysis of vibration measurements for condition monitoring of bearings
title_full_unstemmed Signal analysis of vibration measurements for condition monitoring of bearings
title_sort signal analysis of vibration measurements for condition monitoring of bearings
publishDate 2010
url http://irep.iium.edu.my/2034/1/ICMAE%231.pdf
http://irep.iium.edu.my/2034/
_version_ 1643604899387146240
score 13.160551

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