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...
| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/2034/ http://irep.iium.edu.my/2034/1/ICMAE%231.pdf |
| _version_ | 1848775948678201344 |
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| author | Chebil, Jalel Hrairi, Meftah Abushikhah, Nazih |
| author_facet | Chebil, Jalel Hrairi, Meftah Abushikhah, Nazih |
| author_sort | Chebil, Jalel |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T14:22:18Z |
| format | Proceeding Paper |
| id | iium-2034 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T14:22:18Z |
| publishDate | 2010 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-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 Proceeding Paper PeerReviewed 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. |
| spellingShingle | TJ Mechanical engineering and machinery Chebil, Jalel Hrairi, Meftah Abushikhah, Nazih Signal analysis of vibration measurements for condition monitoring of bearings |
| title | 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_short | Signal analysis of vibration measurements for condition monitoring of bearings |
| title_sort | signal analysis of vibration measurements for condition monitoring of bearings |
| topic | TJ Mechanical engineering and machinery |
| url | http://irep.iium.edu.my/2034/ http://irep.iium.edu.my/2034/1/ICMAE%231.pdf |