Turbine Bending Moment Dataset

his dataset includes two parts. The first part is three sets of physically measured blade-root flapwise bending moments on three respective turbines, courtesy of Riso-DTU (Technical University of Denmark). The basic characteristics of the three turbines can be found in Table 10.1 of the Data Science for Wind Energy book. These datasets include three columns. The first column is the 10-min average wind speed, the second column is the standard deviation of wind speed within a 10-min block, and the third column is the maximum bending moment, in the unit of MN-m, recorded in a 10-min block. The second part of the dataset is the simulated load data used in Section 10.6.5 of the same book. This part has two sets. The first set is the training data that has 1,000 observations and is used to fit an extreme load model. The second set is the test data that consists of 100 subsets, each of which has 100,000 observations. In other words, the second dataset for testing has a total of 10,000,000 observations, which are used to verify the extreme load extrapolation made by a respective model. Both simulated datasets have two columns: the first is the 10-min average wind speed and the second is the maximum bending moment in the corresponding 10-min block. While all other datasets are saved in CSV file format, this simulated test dataset is saved in a text file format, due to its large size. The data simulation procedure is explained in Section 10.6.5.本数据集包含两个部分。第一部分为三套实测的风电叶片根部展向弯矩数据，分别对应三台不同的风力发电机组，数据由丹麦科技大学（Riso-DTU）提供。三台机组的基本特征可查阅《Data Science for Wind Energy》（《风能数据科学》）一书的表10.1。该部分数据集共包含三列：第一列为10分钟平均风速，第二列为10分钟时段内的风速标准差，第三列为该10分钟时段内记录的最大弯矩，单位为MN-m。 本数据集的第二部分为该书第10.6.5节中使用的模拟载荷数据，共包含两套数据集。第一套为训练数据集，包含1000条观测样本，用于拟合极端载荷模型；第二套为测试数据集，由100个子集构成，每个子集包含100000条观测样本，即该测试数据集总样本量达1000万条，用于验证对应模型的极端载荷外推性能。 上述两套模拟数据集均包含两列数据：第一列为10分钟平均风速，第二列为对应10分钟时段内的最大弯矩。除该模拟测试数据集因数据量过大采用文本文件格式存储外，其余所有数据集均以CSV文件格式保存。数据模拟流程的详细说明可参见该书第10.6.5节。