Targeting Faulty Bearings for an Ocean Turbine Dynamometer
A real-time, vibrations-based condition monitoring method used to detect, localize, and identify a faulty bearing in an ocean turbine electric motor is presented in this paper. The electric motor is installed in a dynamometer emulating the functions of the actual ocean turbine. High frequency modal...
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| Format: | Article |
| Language: | English |
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The Prognostics and Health Management Society
2013-01-01
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| Series: | International Journal of Prognostics and Health Management |
| Subjects: | |
| Online Access: | http://www.phmsociety.org/sites/phmsociety.org/files/phm_submission/2013/ijphm_13_021.pdf |
| _version_ | 1819082101523218432 |
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| author | David J. Vendittis Pierre-Philippe Beaujean Nicholas Waters |
| author_facet | David J. Vendittis Pierre-Philippe Beaujean Nicholas Waters |
| author_sort | David J. Vendittis |
| collection | DOAJ |
| description | A real-time, vibrations-based condition monitoring method used to detect, localize, and identify a faulty bearing in an ocean turbine electric motor is presented in this paper. The electric motor is installed in a dynamometer emulating the functions of the actual ocean turbine. High frequency modal analysis and power trending are combined to assess the operational health of the dynamometer’s bearings across an array of accelerometers. Once a defect has been detected, envelope analysis is used to identify the exact bearing containing the defect. After a brief background on bearing fault detection, this paper introduces a simplified mathematical model of the bearing fault, followed with the signal processing approach used to detect, locate, and identify the fault. In the results section, effectiveness of the methods of bearing fault detection presented in this paper is demonstrated through processing data collected, first, from a controlled lathe setup and, second, from the dynamometer. By mounting a bearing containing a defect punched into its inner raceway to a lathe and placing an array of accelerometers along the length of lathe, the bearing fault is clearly detected, localized, and identified as an inner raceway defect. Through retroactively trending the data leading to the near-failure of one of the electric motors in the dynamometer, the authors identified a positive trend in energy levels for a specific frequency band present across the array of accelerometers and identify two bearings as possible sources of the fault. |
| first_indexed | 2024-12-21T20:11:19Z |
| format | Article |
| id | doaj.art-980347d06cab469b8c0ec27a2f58a4e3 |
| institution | Directory Open Access Journal |
| issn | 2153-2648 |
| language | English |
| last_indexed | 2024-12-21T20:11:19Z |
| publishDate | 2013-01-01 |
| publisher | The Prognostics and Health Management Society |
| record_format | Article |
| series | International Journal of Prognostics and Health Management |
| spelling | doaj.art-980347d06cab469b8c0ec27a2f58a4e32022-12-21T18:51:44ZengThe Prognostics and Health Management SocietyInternational Journal of Prognostics and Health Management2153-26482013-01-014Sp2139153Targeting Faulty Bearings for an Ocean Turbine DynamometerDavid J. VendittisPierre-Philippe BeaujeanNicholas WatersA real-time, vibrations-based condition monitoring method used to detect, localize, and identify a faulty bearing in an ocean turbine electric motor is presented in this paper. The electric motor is installed in a dynamometer emulating the functions of the actual ocean turbine. High frequency modal analysis and power trending are combined to assess the operational health of the dynamometer’s bearings across an array of accelerometers. Once a defect has been detected, envelope analysis is used to identify the exact bearing containing the defect. After a brief background on bearing fault detection, this paper introduces a simplified mathematical model of the bearing fault, followed with the signal processing approach used to detect, locate, and identify the fault. In the results section, effectiveness of the methods of bearing fault detection presented in this paper is demonstrated through processing data collected, first, from a controlled lathe setup and, second, from the dynamometer. By mounting a bearing containing a defect punched into its inner raceway to a lathe and placing an array of accelerometers along the length of lathe, the bearing fault is clearly detected, localized, and identified as an inner raceway defect. Through retroactively trending the data leading to the near-failure of one of the electric motors in the dynamometer, the authors identified a positive trend in energy levels for a specific frequency band present across the array of accelerometers and identify two bearings as possible sources of the fault.http://www.phmsociety.org/sites/phmsociety.org/files/phm_submission/2013/ijphm_13_021.pdfBearing FaultsFault DetectionTechniquesOcean Turbinerotating machinery defectsmodulationdemodulationrenewable energyturbine engineocean engineering |
| spellingShingle | David J. Vendittis Pierre-Philippe Beaujean Nicholas Waters Targeting Faulty Bearings for an Ocean Turbine Dynamometer International Journal of Prognostics and Health Management Bearing Faults Fault Detection Techniques Ocean Turbine rotating machinery defects modulation demodulation renewable energy turbine engine ocean engineering |
| title | Targeting Faulty Bearings for an Ocean Turbine Dynamometer |
| title_full | Targeting Faulty Bearings for an Ocean Turbine Dynamometer |
| title_fullStr | Targeting Faulty Bearings for an Ocean Turbine Dynamometer |
| title_full_unstemmed | Targeting Faulty Bearings for an Ocean Turbine Dynamometer |
| title_short | Targeting Faulty Bearings for an Ocean Turbine Dynamometer |
| title_sort | targeting faulty bearings for an ocean turbine dynamometer |
| topic | Bearing Faults Fault Detection Techniques Ocean Turbine rotating machinery defects modulation demodulation renewable energy turbine engine ocean engineering |
| url | http://www.phmsociety.org/sites/phmsociety.org/files/phm_submission/2013/ijphm_13_021.pdf |
| work_keys_str_mv | AT davidjvendittis targetingfaultybearingsforanoceanturbinedynamometer AT pierrephilippebeaujean targetingfaultybearingsforanoceanturbinedynamometer AT nicholaswaters targetingfaultybearingsforanoceanturbinedynamometer |