Autonomous Sensor System for Low-Capacity Wind Turbine Blade Vibration Measurement
This paper presents the design, implementation, and validation of an on-blade sensor system for remote vibration measurement for low-capacity wind turbines. The autonomous sensor system was deployed on three wind turbines, with one of them operating in harsh weather conditions in the far south of Ch...
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MDPI AG
2024-03-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/24/6/1733 |
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| author | Diego Muxica Sebastian Rivera Marcos E. Orchard Constanza Ahumada Francisco Jaramillo Felipe Bravo José M. Gutiérrez Rodrigo Astroza |
| author_facet | Diego Muxica Sebastian Rivera Marcos E. Orchard Constanza Ahumada Francisco Jaramillo Felipe Bravo José M. Gutiérrez Rodrigo Astroza |
| author_sort | Diego Muxica |
| collection | DOAJ |
| description | This paper presents the design, implementation, and validation of an on-blade sensor system for remote vibration measurement for low-capacity wind turbines. The autonomous sensor system was deployed on three wind turbines, with one of them operating in harsh weather conditions in the far south of Chile. The system recorded the acceleration response of the blades in the flapwise and edgewise directions, data that could be used for extracting the dynamic characteristics of the blades, information useful for damage diagnosis and prognosis. The proposed sensor system demonstrated reliable data acquisition and transmission from wind turbines in remote locations, proving the ability to create a fully autonomous system capable of recording data for monitoring and evaluating the state of health of wind turbine blades for extended periods without human intervention. The data collected by the sensor system presented in this study can serve as a foundation for developing vibration-based strategies for real-time structural health monitoring. |
| first_indexed | 2024-04-24T17:51:09Z |
| format | Article |
| id | doaj.art-f2f28e734a1f4287811f39876c7aad6b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-24T17:51:09Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-f2f28e734a1f4287811f39876c7aad6b2024-03-27T14:03:36ZengMDPI AGSensors1424-82202024-03-01246173310.3390/s24061733Autonomous Sensor System for Low-Capacity Wind Turbine Blade Vibration MeasurementDiego Muxica0Sebastian Rivera1Marcos E. Orchard2Constanza Ahumada3Francisco Jaramillo4Felipe Bravo5José M. Gutiérrez6Rodrigo Astroza7Facultad de Ingeniería y Ciencias Aplicadas, Universidad de los Andes, Santiago 7620001, ChileDCE&S Group, Department of Electrical Sustainable Energy, Delft University of Technology, 2628 CD Delft, The NetherlandsDepartment of Electrical Engineering, Faculty of Physical and Mathematical Sciences, University of Chile, Av. Tupper 2007, Santiago 8370451, ChileDepartment of Electrical Engineering, Faculty of Physical and Mathematical Sciences, University of Chile, Av. Tupper 2007, Santiago 8370451, ChileDepartment of Electrical Engineering, Faculty of Physical and Mathematical Sciences, University of Chile, Av. Tupper 2007, Santiago 8370451, ChileFacultad de Ingeniería y Ciencias Aplicadas, Universidad de los Andes, Santiago 7620001, ChileFacultad de Ingeniería y Ciencias Aplicadas, Universidad de los Andes, Santiago 7620001, ChileFacultad de Ingeniería y Ciencias Aplicadas, Universidad de los Andes, Santiago 7620001, ChileThis paper presents the design, implementation, and validation of an on-blade sensor system for remote vibration measurement for low-capacity wind turbines. The autonomous sensor system was deployed on three wind turbines, with one of them operating in harsh weather conditions in the far south of Chile. The system recorded the acceleration response of the blades in the flapwise and edgewise directions, data that could be used for extracting the dynamic characteristics of the blades, information useful for damage diagnosis and prognosis. The proposed sensor system demonstrated reliable data acquisition and transmission from wind turbines in remote locations, proving the ability to create a fully autonomous system capable of recording data for monitoring and evaluating the state of health of wind turbine blades for extended periods without human intervention. The data collected by the sensor system presented in this study can serve as a foundation for developing vibration-based strategies for real-time structural health monitoring.https://www.mdpi.com/1424-8220/24/6/1733accelerometer-based sensor networkscondition monitoringdata acquisitionmodal analysisstructural health monitoringwind turbines |
| spellingShingle | Diego Muxica Sebastian Rivera Marcos E. Orchard Constanza Ahumada Francisco Jaramillo Felipe Bravo José M. Gutiérrez Rodrigo Astroza Autonomous Sensor System for Low-Capacity Wind Turbine Blade Vibration Measurement Sensors accelerometer-based sensor networks condition monitoring data acquisition modal analysis structural health monitoring wind turbines |
| title | Autonomous Sensor System for Low-Capacity Wind Turbine Blade Vibration Measurement |
| title_full | Autonomous Sensor System for Low-Capacity Wind Turbine Blade Vibration Measurement |
| title_fullStr | Autonomous Sensor System for Low-Capacity Wind Turbine Blade Vibration Measurement |
| title_full_unstemmed | Autonomous Sensor System for Low-Capacity Wind Turbine Blade Vibration Measurement |
| title_short | Autonomous Sensor System for Low-Capacity Wind Turbine Blade Vibration Measurement |
| title_sort | autonomous sensor system for low capacity wind turbine blade vibration measurement |
| topic | accelerometer-based sensor networks condition monitoring data acquisition modal analysis structural health monitoring wind turbines |
| url | https://www.mdpi.com/1424-8220/24/6/1733 |
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