Techniques for Large, Slow Bearing Fault Detection
Large, slow turning bearings remain difficult to analyze for diagnostics and prognostics. This poses a critical problem for high value assets, such as drilling equipment top drives, mining equipment, wind turbine main rotors, and helicopter swash plates. An undetected bearing fault can disrupt servi...
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| Format: | Article |
| Language: | English |
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The Prognostics and Health Management Society
2016-01-01
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| Series: | International Journal of Prognostics and Health Management |
| Subjects: | |
| Online Access: | https://papers.phmsociety.org/index.php/ijphm/article/view/2358 |
| _version_ | 1818883737960579072 |
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| author | Eric Bechhoefer Rune Schlanbusch Tor Inge Waag |
| author_facet | Eric Bechhoefer Rune Schlanbusch Tor Inge Waag |
| author_sort | Eric Bechhoefer |
| collection | DOAJ |
| description | Large, slow turning bearings remain difficult to analyze for diagnostics and prognostics. This poses a critical problem for high value assets, such as drilling equipment top drives, mining equipment, wind turbine main rotors, and helicopter swash plates. An undetected bearing fault can disrupt service, and cause delays, lost productivity, or accidents. This paper examines a strategy for analysis of large slow bearings to improve the fault detection of condition monitoring systems. This helps reduce operations and maintenance cost associated with these bearing faults. This analysis is primarily concerned with vibration, and is compared to temperature and grease analysis. Data was available from three wind turbines, where one of the turbine was suspected of having a faulted main bearing. |
| first_indexed | 2024-12-19T15:38:25Z |
| format | Article |
| id | doaj.art-8d1a1026e7a94777b1592a59a380a520 |
| institution | Directory Open Access Journal |
| issn | 2153-2648 2153-2648 |
| language | English |
| last_indexed | 2024-12-19T15:38:25Z |
| publishDate | 2016-01-01 |
| publisher | The Prognostics and Health Management Society |
| record_format | Article |
| series | International Journal of Prognostics and Health Management |
| spelling | doaj.art-8d1a1026e7a94777b1592a59a380a5202022-12-21T20:15:32ZengThe Prognostics and Health Management SocietyInternational Journal of Prognostics and Health Management2153-26482153-26482016-01-0171doi:10.36001/ijphm.2016.v7i1.2358Techniques for Large, Slow Bearing Fault DetectionEric Bechhoefer0Rune Schlanbusch1Tor Inge Waag2GPMS Inc, Cornwall, VT, USATeknova AS, Kristiansand, NorwayMHWirth AS, Kristiansand, NorwayLarge, slow turning bearings remain difficult to analyze for diagnostics and prognostics. This poses a critical problem for high value assets, such as drilling equipment top drives, mining equipment, wind turbine main rotors, and helicopter swash plates. An undetected bearing fault can disrupt service, and cause delays, lost productivity, or accidents. This paper examines a strategy for analysis of large slow bearings to improve the fault detection of condition monitoring systems. This helps reduce operations and maintenance cost associated with these bearing faults. This analysis is primarily concerned with vibration, and is compared to temperature and grease analysis. Data was available from three wind turbines, where one of the turbine was suspected of having a faulted main bearing.https://papers.phmsociety.org/index.php/ijphm/article/view/2358envelope analysistemperaturecyclostationaritygreasebearing fault |
| spellingShingle | Eric Bechhoefer Rune Schlanbusch Tor Inge Waag Techniques for Large, Slow Bearing Fault Detection International Journal of Prognostics and Health Management envelope analysis temperature cyclostationarity grease bearing fault |
| title | Techniques for Large, Slow Bearing Fault Detection |
| title_full | Techniques for Large, Slow Bearing Fault Detection |
| title_fullStr | Techniques for Large, Slow Bearing Fault Detection |
| title_full_unstemmed | Techniques for Large, Slow Bearing Fault Detection |
| title_short | Techniques for Large, Slow Bearing Fault Detection |
| title_sort | techniques for large slow bearing fault detection |
| topic | envelope analysis temperature cyclostationarity grease bearing fault |
| url | https://papers.phmsociety.org/index.php/ijphm/article/view/2358 |
| work_keys_str_mv | AT ericbechhoefer techniquesforlargeslowbearingfaultdetection AT runeschlanbusch techniquesforlargeslowbearingfaultdetection AT toringewaag techniquesforlargeslowbearingfaultdetection |