Full-scale wind turbine vibration signature analysis
A sample of healthy wind turbines from the same wind farm with identical sizes and designs was investigated to determine the average vibrational signatures of the drive train components during normal operation. The units were variable-speed machines with three blades. The rotor was supported by two...
| Authors: | ; |
|---|---|
| Format: | Article |
| Publication date: | 2018 |
| Country: | España |
| Institution: | Universitat Politècnica de Catalunya (UPC) |
| Repository: | UPCommons. Portal del coneixement obert de la UPC |
| Language: | English |
| OAI Identifier: | oai:upcommons.upc.edu:2117/125725 |
| Online Access: | https://hdl.handle.net/2117/125725 https://dx.doi.org/10.3390/machines6040063 |
| Access Level: | Open access |
| Keyword: | Fluid mechanics Wind turbine Condition monitoring Vibrations Frequency content Drive train Tower Mecànica de fluids Àrees temàtiques de la UPC::Enginyeria mecànica::Mecànica de fluids::Màquines hidràuliques i de fluids |
| _version_ | 1878738414937833472 |
|---|---|
| author | Escaler Puigoriol, Francesc Xavier|||0000-0002-9374-7749 |
| author2 | Mebarki, Toufik |
| author2_role | author |
| author_browse | Escaler Puigoriol, Francesc Xavier|||0000-0002-9374-7749 Mebarki, Toufik |
| author_facet | Escaler Puigoriol, Francesc Xavier|||0000-0002-9374-7749 Mebarki, Toufik |
| author_role | author |
| collection | UPCommons. Portal del coneixement obert de la UPC |
| description | A sample of healthy wind turbines from the same wind farm with identical sizes and designs was investigated to determine the average vibrational signatures of the drive train components during normal operation. The units were variable-speed machines with three blades. The rotor was supported by two bearings, and the drive train connected to an intermediate three-stage planetary/helical gearbox. The nominal 2 MW output power was regulated using blade pitch adjustment. Vibrations were measured in exactly the same positions using the same type of sensors over a six-month period covering the entire range of operating conditions. The data set was preliminary validated to remove outliers based on the theoretical power curves. The most relevant frequency peaks in the rotor, gearbox, and generator vibrations were detected and identified based on averaged power spectra. The amplitudes of the peaks induced by a common source of excitation were compared in different measurement positions. A wind speed dependency of broadband vibration amplitudes was also observed. Finally, a fault detection case is presented showing the change of vibration signature induced by a damage in the gearbox |
| eu_rights_str_mv | openAccess |
| format | article |
| id | ES_ae9e2f9ec8a054e664ce878be64d0a3d |
| institution | Universitat Politècnica de Catalunya (UPC) |
| instname_str | Universitat Politècnica de Catalunya (UPC) |
| language | eng |
| network_acronym_str | ES |
| network_name_str | España |
| oai_identifier_str | oai:upcommons.upc.edu:2117/125725 |
| publishDate | 2018 |
| publishDateSort | 2018 |
| reponame_str | UPCommons. Portal del coneixement obert de la UPC |
| spelling | Full-scale wind turbine vibration signature analysis Escaler Puigoriol, Francesc Xavier|||0000-0002-9374-7749 Mebarki, Toufik Fluid mechanics Wind turbine Condition monitoring Vibrations Frequency content Drive train Tower Mecànica de fluids Àrees temàtiques de la UPC::Enginyeria mecànica::Mecànica de fluids::Màquines hidràuliques i de fluids A sample of healthy wind turbines from the same wind farm with identical sizes and designs was investigated to determine the average vibrational signatures of the drive train components during normal operation. The units were variable-speed machines with three blades. The rotor was supported by two bearings, and the drive train connected to an intermediate three-stage planetary/helical gearbox. The nominal 2 MW output power was regulated using blade pitch adjustment. Vibrations were measured in exactly the same positions using the same type of sensors over a six-month period covering the entire range of operating conditions. The data set was preliminary validated to remove outliers based on the theoretical power curves. The most relevant frequency peaks in the rotor, gearbox, and generator vibrations were detected and identified based on averaged power spectra. The amplitudes of the peaks induced by a common source of excitation were compared in different measurement positions. A wind speed dependency of broadband vibration amplitudes was also observed. Finally, a fault detection case is presented showing the change of vibration signature induced by a damage in the gearbox Peer Reviewed https://hdl.handle.net/2117/125725 https://dx.doi.org/10.3390/machines6040063 |
| spellingShingle | Full-scale wind turbine vibration signature analysis Escaler Puigoriol, Francesc Xavier|||0000-0002-9374-7749 Fluid mechanics Wind turbine Condition monitoring Vibrations Frequency content Drive train Tower Mecànica de fluids Àrees temàtiques de la UPC::Enginyeria mecànica::Mecànica de fluids::Màquines hidràuliques i de fluids |
| title | Full-scale wind turbine vibration signature analysis |
| title_full | Full-scale wind turbine vibration signature analysis |
| title_fullStr | Full-scale wind turbine vibration signature analysis |
| title_full_unstemmed | Full-scale wind turbine vibration signature analysis |
| title_short | Full-scale wind turbine vibration signature analysis |
| title_sort | Full-scale wind turbine vibration signature analysis |
| topic | Fluid mechanics Wind turbine Condition monitoring Vibrations Frequency content Drive train Tower Mecànica de fluids Àrees temàtiques de la UPC::Enginyeria mecànica::Mecànica de fluids::Màquines hidràuliques i de fluids |
| topic_facet | Fluid mechanics Wind turbine Condition monitoring Vibrations Frequency content Drive train Tower Mecànica de fluids Àrees temàtiques de la UPC::Enginyeria mecànica::Mecànica de fluids::Màquines hidràuliques i de fluids |
| url | https://hdl.handle.net/2117/125725 https://dx.doi.org/10.3390/machines6040063 |