风电设备故障预警专识数据集

本数据集聚焦风力发电机组关键部件的故障预警与健康管理，覆盖双馈、直驱、半直驱等主流机型及叶片、齿轮箱、发电机、主轴、变桨偏航系统等核心部件。数据内容包括风机元数据、工况与环境参数、多传感器状态监测时序数据（振动、温度、电气参数等）、健康度评分、预警等级以及实际故障标签和提前预警时间。适用于故障预警模型训练、健康状态评估、智能运维决策、备件优化及风电保险评估等场景。This dataset focuses on fault early warning and health management for key components of wind turbines. It covers mainstream wind turbine models including doubly-fed, direct-drive and semi-direct-drive types, as well as core components such as blades, gearboxes, generators, main shafts, pitch and yaw systems. The data content includes wind turbine metadata, operating condition and environmental parameters, time-series condition monitoring data from multiple sensors (vibration, temperature, electrical parameters, etc.), health scores, early warning levels, actual fault labels and early warning lead times. It is applicable to scenarios such as fault early warning model training, health state assessment, intelligent operation and maintenance decision-making, spare parts optimization and wind power insurance assessment.

搜集汇总

背景与挑战

背景概述

该数据集专注于风力发电机组关键部件的故障预警与健康管理，覆盖双馈、直驱、半直驱等主流机型及叶片、齿轮箱等核心部件。数据内容包括风机元数据、工况与环境参数、多传感器状态监测时序数据、健康度评分、预警等级及故障标签，适用于故障预警模型训练、智能运维决策和风电保险评估等场景。