Aventa AV-7 ETH Zurich Research Wind Turbine SCADA and high frequency Structural Health Monitoring (SHM) data
收藏Mendeley Data2024-05-10 更新2024-06-27 收录
下载链接:
https://zenodo.org/records/8229750
下载链接
链接失效反馈官方服务:
资源简介:
General description of wind turbine: The ETH owned wind turbine is Aventa AV-7, manufactured by Aventa AG in Switzerland and was commissioned in December 2002. The turbine is operated via a belt-driven generator and a frequency converter with a variable speed drive. The rated power of the Aventa AV-7 is 7 kW, beginning production at a wind speed of 2 m/s and having a cut-off speed of 14 m/s. The rotor diameter is 12.8 m with 3 rotor blades, and a hub height is 18m. The maximum rotational speed of the turbine is 63 rpm. The tower is a tubular steel-reinforced concrete structure, supported on concrete foundation, while the blades are made of glassfiber with a tubular steel main-spar. The turbine is regulated via a variable-speed and variable pitch control system. Location of site: The wind turbine is located in Taggenberg, about 5 km from the city centre of Winterthur, Switzerland. This site is easily accessible by public transport and on foot with direct road access right next to the turbine. This prime location reduces the cost of site visits and allows for frequent personal monitoring of the site when test equipment is installed. The coordinates of the site are: 47°31'12.2"N 8°40'55.7"E. Control and measurement systems and signals: The turbine is regulated via a variable-speed and collective variable pitch control system. SHM Motivation: Designed and commissioned in 2002, the Aventa wind turbine in Winterthur is soon reaching its end of design lifetime. In order to assess the various techniques of predicting the remaining useful lifetime, a Structural Health Monitoring (SHM) campaign was implemented by ETH Zurich. The monitoring campaign started in 2020, and is still ongoing. In addition, the setup is used as a research platform on topics such as system identification, operational modal analysis, faults/damage detection and classification. We analyze the influence of operational and environmental conditions on the modal parameters and to further infer Performance Indicators (PIs) for assessing structural behavior in terms of deterioration processes. Data Description: The tower and nacelle have been instrumented with 11 accelerometers distributed along the length of the tower, nacelle main frame, main bearing and generator. Two full bridge strain gauges are installed on the concrete tower based measuring fore-aft and side-side strain (and can be converted to bending moments) – all acceleration and strain signals sampled at 200Hz. Temperature and humidity are measured at the tower base – 1Hz data. In additional we are collecting operational performance data (SCADA), namely: wind speed, nacelle yaw orientation, rotor RPM, power output and turbine status – SCADA signals are sampled at 10Hz. See appendix for further details of the sensors layout. The measurements/instrumentation setup, type and layout is provided in the pdf files. The data: the data is provided in zip files corresponding to four use-cases as follows: Normal operation data for system identification Aerodynamic imbalance on one blade Rotor icing event Failure of the flexible coupling of the linear drive of the collective pitch system The data for each of the four uses-cases is organized in zip files. The content of each zip file is as follows: Time-series data in HDF5 format Metadata: Turbine specification (Aventa-AV-7.json and Aventa-AV-7.yaml) Sensor specification (Aventa_sensors.json ) Unstructured description of the Aventa Turbine and the installed sensors (Aventa_Sensors_Specs.xlsx) Semantic artifacts: WindIO Wind Turbine YAML schema describing turbine specifications (IEAontology_schema.yaml) Sensor specification JSON schema (sensors_schema.json) Media: Pictures of leading edge roughness and a clip of wind turbine operation Code: Jupyter notebook containing example code to load metadata from JSON and data from HDF5 files (example.ipynb) Additional data is available upon request, please contact: Prof. Dr. Eleni Chatzi (chatzi@ibk.baug.ethz.ch) Dr. Imad Abdallah (ai@rtdt.ai , abdallah@ibk.baug.ethz.ch) For further details or questions, please contact: Prof. Dr. Eleni Chatzi Chair of Structural Mechanics & Monitoring ETH Zürich http://www.chatzi.ibk.ethz.ch/
风力涡轮机通用说明:苏黎世联邦理工学院(ETH)所拥有的这款Aventa AV-7型风力涡轮机,由瑞士Aventa AG公司制造,于2002年12月投入运行。该涡轮机采用带传动发电机与变频调速变频器驱动。Aventa AV-7的额定功率为7kW,切入风速为2m/s,切出风速为14m/s。转子直径达12.8m,配备3片转子叶片,轮毂高度为18m。涡轮机最大转速为63转每分钟。塔筒采用管状钢筋混凝土结构,支撑于混凝土基础之上;叶片采用玻璃纤维材质,内置管状钢制主梁。涡轮机通过变速与集中变桨控制系统进行调节。
场址位置:该风力涡轮机位于瑞士温特图尔市中心以北约5公里的塔根贝格(Taggenberg)。该场址可通过公共交通与步行便捷抵达,涡轮机旁即有直达公路。优越的地理位置降低了现场调研成本,且可在安装测试设备时开展高频次人工现场监测。该场址的坐标为:47°31'12.2"N 8°40'55.7"E。
控制与测量系统及信号:该涡轮机采用变速与集中变桨控制系统进行调节。
结构健康监测(Structural Health Monitoring, SHM)动因:这款2002年设计并投用的温特图尔Aventa风力涡轮机即将达到设计寿命上限。为评估各类剩余使用寿命预测技术,苏黎世联邦理工学院(ETH Zurich)启动了结构健康监测项目。该监测项目于2020年启动,目前仍在进行中。此外,该测试平台还可用于系统辨识、运行模态分析、故障/损伤检测与分类等相关主题的研究。我们将分析运行与环境条件对模态参数的影响,并进一步推导性能指标(Performance Indicators, PIs),以评估结构在劣化过程中的行为表现。
数据说明:塔筒与机舱内共布设11个加速度传感器,沿塔筒、机舱主框架、主轴承及发电机分布。混凝土塔筒上安装有两片全桥应变片,用于测量前后向与侧向应变(可转换为弯矩)——所有加速度与应变信号的采样频率均为200Hz。塔筒基座处布设温湿度传感器,采样频率为1Hz。此外,我们还采集了监控与数据采集(Supervisory Control And Data Acquisition, SCADA)系统的运行性能数据,具体包括:风速、机舱偏航方位、转子转速、输出功率与涡轮机状态——SCADA信号的采样频率为10Hz。传感器布局的更多细节见附录。传感器的测量/布设方案、类型与布局详见各PDF文件。
数据集:数据以ZIP压缩包形式提供,对应四类应用场景,具体如下:
1. 用于系统辨识的正常运行数据
2. 单叶片气动不平衡数据
3. 转子结冰事件数据
4. 集中变桨系统线性驱动装置弹性联轴器失效数据
每个场景的数据均单独打包为压缩文件。每个压缩包内包含如下内容:
- HDF5格式的时序数据
- 元数据:涡轮机规格文件(Aventa-AV-7.json、Aventa-AV-7.yaml)、传感器规格文件(Aventa_sensors.json)、Aventa涡轮机与已安装传感器的非结构化说明文档(Aventa_Sensors_Specs.xlsx)
- 语义规范文件:描述涡轮机规格的WindIO风力涡轮机YAML架构文件(IEAontology_schema.yaml)、传感器规格JSON架构文件(sensors_schema.json)
- 多媒体素材:前缘粗糙度相关图片与涡轮机运行剪辑视频
- 示例代码:包含从JSON文件加载元数据、从HDF5文件加载数据的示例Jupyter Notebook(example.ipynb)
额外数据可按需申请,请联系:
Prof. Dr. Eleni Chatzi (chatzi@ibk.baug.ethz.ch)
Dr. Imad Abdallah (ai@rtdt.ai , abdallah@ibk.baug.ethz.ch)
如需进一步咨询或疑问,请联系:
Prof. Dr. Eleni Chatzi
结构力学与监测讲席教授
苏黎世联邦理工学院
http://www.chatzi.ibk.ethz.ch/
创建时间:
2023-08-22
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集包含Aventa AV-7研究风力涡轮机的SCADA和高频结构健康监测数据,覆盖四个特定用例,旨在评估剩余使用寿命和进行结构行为研究。数据以HDF5格式提供,附带详细的元数据和传感器规格,适用于系统识别、故障检测和分类等研究。
以上内容由遇见数据集搜集并总结生成



