Acoustic emission techniques for early detection of bearing faults using LabVIEW
Bearings represent the most important part in rotating machinery. For any machine problems bearing suffers the consequences. It is therefore necessarily to monitor and diagnose the bearing health condition in order to avoid serious problems that can lead to catastrophic machine failure. Various cond...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2008
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| Subjects: | |
| Online Access: | http://scholars.utp.edu.my/id/eprint/435/ http://scholars.utp.edu.my/id/eprint/435/1/paper.pdf |
| _version_ | 1848658985742237696 |
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| author | N., Saad M.A.A., Elmaleeh |
| author_facet | N., Saad M.A.A., Elmaleeh |
| author_sort | N., Saad |
| building | UTP Institutional Repository |
| collection | Online Access |
| description | Bearings represent the most important part in rotating machinery. For any machine problems bearing suffers the consequences. It is therefore necessarily to monitor and diagnose the bearing health condition in order to avoid serious problems that can lead to catastrophic machine failure. Various condition monitoring techniques are used for detection of rotating machine faults. This paper demonstrates a method based on time analysis of an acoustic emission signals and bursts captured from bearing assembly. The capability of AE technique for detection of bearing abnormalities and defects at incipient stages is conducted. A real time AE measurement system is developed. It allows AE signals to be processed and analyzed using LabVIEW. ©2008 IEEE.
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| first_indexed | 2025-11-13T07:23:14Z |
| format | Conference or Workshop Item |
| id | oai:scholars.utp.edu.my:435 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-13T07:23:14Z |
| publishDate | 2008 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:4352017-01-19T08:26:38Z http://scholars.utp.edu.my/id/eprint/435/ Acoustic emission techniques for early detection of bearing faults using LabVIEW N., Saad M.A.A., Elmaleeh TK Electrical engineering. Electronics Nuclear engineering Bearings represent the most important part in rotating machinery. For any machine problems bearing suffers the consequences. It is therefore necessarily to monitor and diagnose the bearing health condition in order to avoid serious problems that can lead to catastrophic machine failure. Various condition monitoring techniques are used for detection of rotating machine faults. This paper demonstrates a method based on time analysis of an acoustic emission signals and bursts captured from bearing assembly. The capability of AE technique for detection of bearing abnormalities and defects at incipient stages is conducted. A real time AE measurement system is developed. It allows AE signals to be processed and analyzed using LabVIEW. ©2008 IEEE. 2008 Conference or Workshop Item NonPeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/435/1/paper.pdf N., Saad and M.A.A., Elmaleeh (2008) Acoustic emission techniques for early detection of bearing faults using LabVIEW. In: 5th International Symposium on Mechatronics and its Applications, ISMA 2008, 27 May 2008 through 29 May 2008, Amman. http://www.scopus.com/inward/record.url?eid=2-s2.0-69549088287&partnerID=40&md5=8b2e7cd3dd2fde1c9bfb5709329f6e00 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering N., Saad M.A.A., Elmaleeh Acoustic emission techniques for early detection of bearing faults using LabVIEW |
| title | Acoustic emission techniques for early detection of bearing faults using LabVIEW
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| title_full | Acoustic emission techniques for early detection of bearing faults using LabVIEW
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| title_fullStr | Acoustic emission techniques for early detection of bearing faults using LabVIEW
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| title_full_unstemmed | Acoustic emission techniques for early detection of bearing faults using LabVIEW
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| title_short | Acoustic emission techniques for early detection of bearing faults using LabVIEW
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| title_sort | acoustic emission techniques for early detection of bearing faults using labview |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://scholars.utp.edu.my/id/eprint/435/ http://scholars.utp.edu.my/id/eprint/435/ http://scholars.utp.edu.my/id/eprint/435/1/paper.pdf |