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.

搜集汇总

背景与挑战

背景概述

该数据集包含两台卡普兰水轮机液压系统的压力和温度监测数据，用于分析叶片轴承的摩擦状态，采样频率为每分钟1次，并标记了甘油润滑时段。数据适用于机器学习、异常检测和预测性维护等研究，支持水电站涡轮机的状态监测与优化。