Global Sensitivity Analysis of High Speed Shaft Subsystem of a Wind Turbine Drive Train
The wind turbine dynamics are complex and critical area of study for the wind industry. Quantification of the effective factors to wind turbine performance is valuable for making improvements to both power performance and turbine health. In this paper, the global sensitivity analysis of validated ma...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | International Journal of Rotating Machinery |
| Online Access: | http://dx.doi.org/10.1155/2018/9674364 |
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| author | Saeed Asadi Viktor Berbyuk Håkan Johansson |
| author_facet | Saeed Asadi Viktor Berbyuk Håkan Johansson |
| author_sort | Saeed Asadi |
| collection | DOAJ |
| description | The wind turbine dynamics are complex and critical area of study for the wind industry. Quantification of the effective factors to wind turbine performance is valuable for making improvements to both power performance and turbine health. In this paper, the global sensitivity analysis of validated mathematical model for high speed shaft drive train test rig has been developed in order to evaluate the contribution of systems input parameters to the specified objective functions. The drive train in this study consists of a 3-phase induction motor, flexible shafts, shafts’ coupling, bearing housing, and disk with an eccentric mass. The governing equations were derived by using the Lagrangian formalism and were solved numerically by Newmark method. The variance based global sensitivity indices are introduced to evaluate the contribution of input structural parameters correlated to the objective functions. The conclusion from the current research provides informative beneficial data in terms of design and optimization of a drive train setup and also can provide better understanding of wind turbine drive train system dynamics with respect to different structural parameters, ultimately designing more efficient drive trains. Finally, the proposed global sensitivity analysis (GSA) methodology demonstrates the detectability of faults in different components. |
| format | Article |
| id | doaj-art-8239dbb8400641c4bb51eb809075f7d3 |
| institution | OA Journals |
| issn | 1023-621X 1542-3034 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Rotating Machinery |
| spelling | doaj-art-8239dbb8400641c4bb51eb809075f7d32025-08-20T02:08:28ZengWileyInternational Journal of Rotating Machinery1023-621X1542-30342018-01-01201810.1155/2018/96743649674364Global Sensitivity Analysis of High Speed Shaft Subsystem of a Wind Turbine Drive TrainSaeed Asadi0Viktor Berbyuk1Håkan Johansson2Department of Mechanics and Maritime Sciences, Chalmers University of Technology, 412 96 Göteborg, SwedenDepartment of Mechanics and Maritime Sciences, Chalmers University of Technology, 412 96 Göteborg, SwedenDepartment of Mechanics and Maritime Sciences, Chalmers University of Technology, 412 96 Göteborg, SwedenThe wind turbine dynamics are complex and critical area of study for the wind industry. Quantification of the effective factors to wind turbine performance is valuable for making improvements to both power performance and turbine health. In this paper, the global sensitivity analysis of validated mathematical model for high speed shaft drive train test rig has been developed in order to evaluate the contribution of systems input parameters to the specified objective functions. The drive train in this study consists of a 3-phase induction motor, flexible shafts, shafts’ coupling, bearing housing, and disk with an eccentric mass. The governing equations were derived by using the Lagrangian formalism and were solved numerically by Newmark method. The variance based global sensitivity indices are introduced to evaluate the contribution of input structural parameters correlated to the objective functions. The conclusion from the current research provides informative beneficial data in terms of design and optimization of a drive train setup and also can provide better understanding of wind turbine drive train system dynamics with respect to different structural parameters, ultimately designing more efficient drive trains. Finally, the proposed global sensitivity analysis (GSA) methodology demonstrates the detectability of faults in different components.http://dx.doi.org/10.1155/2018/9674364 |
| spellingShingle | Saeed Asadi Viktor Berbyuk Håkan Johansson Global Sensitivity Analysis of High Speed Shaft Subsystem of a Wind Turbine Drive Train International Journal of Rotating Machinery |
| title | Global Sensitivity Analysis of High Speed Shaft Subsystem of a Wind Turbine Drive Train |
| title_full | Global Sensitivity Analysis of High Speed Shaft Subsystem of a Wind Turbine Drive Train |
| title_fullStr | Global Sensitivity Analysis of High Speed Shaft Subsystem of a Wind Turbine Drive Train |
| title_full_unstemmed | Global Sensitivity Analysis of High Speed Shaft Subsystem of a Wind Turbine Drive Train |
| title_short | Global Sensitivity Analysis of High Speed Shaft Subsystem of a Wind Turbine Drive Train |
| title_sort | global sensitivity analysis of high speed shaft subsystem of a wind turbine drive train |
| url | http://dx.doi.org/10.1155/2018/9674364 |
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