Hydropower Turbine Friction Monitoring Dataset

The datasets contain pressure and temperature signals from the hydraulic systems of two different Kaplan turbines. The variables can be connected to the forces required to regulate the runner blades on the turbines. The datasets can therefore be used to monitor the friction in the bearings that enable the movement of the runner blades. These bearings are located in the hub of the Kaplan turbines. The datasets are also labeled with information on whether glycerol is present in the systems for lubrication. The sampling frequency is 1 sample per minute. Each feature includes an average, minimum, and maximum value, which correspond to the statistics during that minute from the sampling as the sampling frequency in the SCADA system is higher than 1 sample per minute.本数据集包含两台不同卡普兰水轮机（Kaplan turbine）液压系统的压力与温度信号。这些信号变量与调节水轮机转轮叶片所需的作用力相关，因此可用于监测驱动转轮叶片转动的轴承内的摩擦状况。此类轴承安装于卡普兰水轮机的轮毂内部。数据集还附带了润滑系统中是否含有甘油的标注信息。 本数据集的采样频率为每分钟1个采样点。由于SCADA系统（Supervisory Control And Data Acquisition，数据采集与监视控制系统）的采样频率高于每分钟1个采样点，因此每个特征所包含的平均值、最小值与最大值，均对应单分钟内全部采样数据的统计结果。

搜集汇总

背景与挑战

背景概述

该数据集包含两种Kaplan涡轮机的液压系统监测数据，用于分析叶片轴承摩擦情况，采样频率为每分钟1次，并记录润滑系统的甘油使用信息。