Aventa AV-7 ETH Zurich Research Wind Turbine SCADA and high frequency Structural Health Monitoring (SHM) data

<strong>General description of wind turbine: </strong>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. <strong>Location of site: </strong>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. <strong>Control and measurement systems and signals: </strong>The turbine is regulated via a variable-speed and collective variable pitch control system. <strong>SHM Motivation: </strong>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. <strong>Data Description: </strong>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. <strong>The data:</strong> 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 ([e-mail]) Dr. Imad Abdallah ([e-mail] , [e-mail]) For further details or questions, please contact: Prof. Dr. Eleni Chatzi<br> Chair of Structural Mechanics &amp; Monitoring ETH Zürich<br> http://www.chatzi.ibk.ethz.ch/### 风力涡轮机总体概述： 苏黎世联邦理工学院（ETH Zurich）所拥有的风力涡轮机为Aventa AV-7型，由瑞士Aventa AG公司制造，于2002年12月正式投用。该涡轮机采用带驱动式发电机与变速驱动变频器进行运行调控。Aventa AV-7的额定功率为7 kW，切入风速为2 m/s，切出风速为14 m/s。其转子直径达12.8 m，配备3片转子叶片，轮毂高度为18 m，最大旋转转速为63 rpm。塔架采用钢管增强混凝土结构，以混凝土基础作为支撑；叶片采用玻璃纤维材质，主翼梁为钢管管状结构。该涡轮机通过变速变桨距控制系统实现调节。 ### 部署地点： 该风力涡轮机坐落于瑞士温特图尔市中心以北约5 km的塔根贝格（Taggenberg），可通过公共交通或步行便捷抵达，涡轮机旁即设有直达道路。该优越区位降低了现场巡检成本，便于在安装测试设备时开展高频次人工现场监测。站点坐标为：47°31'12.2"N 8°40'55.7"E。 ### 控制与测量系统及信号： 该涡轮机采用变速集总变桨距控制系统进行调节。 ### 结构健康监测（Structural Health Monitoring, SHM）实施动因： 这座位于温特图尔的Aventa风力涡轮机于2002年设计投用，即将达到设计使用寿命。为评估各类剩余使用寿命预测技术，苏黎世联邦理工学院启动了结构健康监测项目。该监测项目始于2020年，目前仍在持续进行中。此外，该监测平台还被用于系统辨识、运行模态分析、故障/损伤检测与分类等相关研究。我们将分析运行及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： 塔架与机舱已部署11个加速度传感器，沿塔架长度、机舱主机架、主轴承及发电机分布。混凝土塔架上安装了两组全桥应变片，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率均为200 Hz。塔架底部布设温湿度监测传感器，采样率为1 Hz。此外，我们还采集数据采集与监视控制系统（SCADA）相关的运行性能数据，具体包括风速、机舱偏航方位、转子转速、输出功率及涡轮机运行状态——SCADA信号采样率为10 Hz。传感器布局的详细信息见附录，测量/仪器部署方案、类型及布局详见配套PDF文件。 ### 数据详情： 数据以压缩包形式提供，对应四类应用场景，分别为：用于系统辨识的正常运行数据、单叶片气动不平衡工况数据、转子结冰事件数据、集总变桨系统线性驱动装置柔性联轴器故障数据。四类场景的数据分别存储于各自的压缩包中。每个压缩包的内容如下： 1. HDF5格式的时序数据 2. 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"） 3. Aventa涡轮机及已安装传感器的非结构化说明文档（"Aventa_Sensors_Specs.xlsx"） 4. 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"） 5. 多媒体素材：叶片前缘粗糙度相关图片及涡轮机运行视频片段 6. 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"） 如需获取额外数据，请联系： 埃莱妮·查齐教授（Prof. Dr. Eleni Chatzi），邮箱：[e-mail] 伊马德·阿卜杜拉博士（Dr. Imad Abdallah），邮箱：[e-mail]、[e-mail] 如需进一步咨询或了解详情，请联系： 埃莱妮·查齐教授 结构力学与监测讲席组 苏黎世联邦理工学院 http://www.chatzi.ibk.ethz.ch/