Indicative Fault Diagnosis of Wind Turbine Generator Bearings Using Tower Sound and Vibration
The idea of indicative fault diagnosis based on measuring the wind turbine tower sound and vibration is presented. It had been reported by a wind farm operator that a major fault on the generator bearing causes shock and noise to be heard from the bottom of the wind turbine tower. The work in this p...
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| Format: | Article |
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MDPI AG
2017-11-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/10/11/1853 |
| _version_ | 1798003594752950272 |
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| author | Ehsan Mollasalehi David Wood Qiao Sun |
| author_facet | Ehsan Mollasalehi David Wood Qiao Sun |
| author_sort | Ehsan Mollasalehi |
| collection | DOAJ |
| description | The idea of indicative fault diagnosis based on measuring the wind turbine tower sound and vibration is presented. It had been reported by a wind farm operator that a major fault on the generator bearing causes shock and noise to be heard from the bottom of the wind turbine tower. The work in this paper was conceived to test whether tower top faults could be identified by taking simple measurements at the tower base. Two accelerometers were attached inside the wind turbine tower, and vibration data was collected while the wind turbine was in operation. Tower vibration signals were analyzed using Empirical Mode Decomposition and the outcomes were correlated with the vibration signals acquired directly from the generator bearings. It is shown that the generator bearing fault signatures were present in the vibrations from the tower. The results suggest that useful condition monitoring of nacelle components can be done even when there is no condition monitoring system installed on the generator bearings, as is often the case for older wind turbines. In the second part of the paper, acoustic measurements from a healthy and a faulty wind turbine are shown. The preliminary analysis suggests that the generator bearing fault increases the overall sound pressure level at the bottom of the tower, and is not buried in the background noise. |
| first_indexed | 2024-04-11T12:10:13Z |
| format | Article |
| id | doaj.art-0421618150e8433f80dbb9aa3be7662e |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T12:10:13Z |
| publishDate | 2017-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-0421618150e8433f80dbb9aa3be7662e2022-12-22T04:24:37ZengMDPI AGEnergies1996-10732017-11-011011185310.3390/en10111853en10111853Indicative Fault Diagnosis of Wind Turbine Generator Bearings Using Tower Sound and VibrationEhsan Mollasalehi0David Wood1Qiao Sun2Department of Mechanical and Manufacturing Engineering, University of Calgary, 2500 University Dr NW, Calgary, AB T2N 1N4, CanadaDepartment of Mechanical and Manufacturing Engineering, University of Calgary, 2500 University Dr NW, Calgary, AB T2N 1N4, CanadaDepartment of Mechanical and Manufacturing Engineering, University of Calgary, 2500 University Dr NW, Calgary, AB T2N 1N4, CanadaThe idea of indicative fault diagnosis based on measuring the wind turbine tower sound and vibration is presented. It had been reported by a wind farm operator that a major fault on the generator bearing causes shock and noise to be heard from the bottom of the wind turbine tower. The work in this paper was conceived to test whether tower top faults could be identified by taking simple measurements at the tower base. Two accelerometers were attached inside the wind turbine tower, and vibration data was collected while the wind turbine was in operation. Tower vibration signals were analyzed using Empirical Mode Decomposition and the outcomes were correlated with the vibration signals acquired directly from the generator bearings. It is shown that the generator bearing fault signatures were present in the vibrations from the tower. The results suggest that useful condition monitoring of nacelle components can be done even when there is no condition monitoring system installed on the generator bearings, as is often the case for older wind turbines. In the second part of the paper, acoustic measurements from a healthy and a faulty wind turbine are shown. The preliminary analysis suggests that the generator bearing fault increases the overall sound pressure level at the bottom of the tower, and is not buried in the background noise.https://www.mdpi.com/1996-1073/10/11/1853wind turbinetower vibrationindicative fault diagnosiscondition monitoringdrive-traingenerator bearingoperation and maintenanceempirical mode decompositionacoustics |
| spellingShingle | Ehsan Mollasalehi David Wood Qiao Sun Indicative Fault Diagnosis of Wind Turbine Generator Bearings Using Tower Sound and Vibration Energies wind turbine tower vibration indicative fault diagnosis condition monitoring drive-train generator bearing operation and maintenance empirical mode decomposition acoustics |
| title | Indicative Fault Diagnosis of Wind Turbine Generator Bearings Using Tower Sound and Vibration |
| title_full | Indicative Fault Diagnosis of Wind Turbine Generator Bearings Using Tower Sound and Vibration |
| title_fullStr | Indicative Fault Diagnosis of Wind Turbine Generator Bearings Using Tower Sound and Vibration |
| title_full_unstemmed | Indicative Fault Diagnosis of Wind Turbine Generator Bearings Using Tower Sound and Vibration |
| title_short | Indicative Fault Diagnosis of Wind Turbine Generator Bearings Using Tower Sound and Vibration |
| title_sort | indicative fault diagnosis of wind turbine generator bearings using tower sound and vibration |
| topic | wind turbine tower vibration indicative fault diagnosis condition monitoring drive-train generator bearing operation and maintenance empirical mode decomposition acoustics |
| url | https://www.mdpi.com/1996-1073/10/11/1853 |
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