Wind turbine fault diagnosis dataset (FAST-NREL 5MW) 核心 · 已核验

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This repository contains the measurement signals used during the development and validation of a wind turbine fault diagnosis methodology.

The dataset includes six fault scenarios of a wind turbine benchmark. Each file fault_i.mat contains the time series of the available sensor measurements corresponding to fault condition i. A healthy operating condition is also provided.

The MATLAB live script read_Sensor_data.mlx is included for visualization and inspection of the sensor behavior and fault effects. They are provided to allow readers to understand the characteristics of the signals used to design and tune the diagnostic method.

The signals were generated using the wind turbine benchmark proposed by Odgaard, Stoustrup and Kinnaert (2013), based on the NREL 5-MW reference wind turbine implemented in FAST.

The FAST simulation model is not distributed. Only processed measurement signals required for diagnosis are provided.

Pérez-Pérez, E. J., Puig, V., Santos-Ruiz, I., Gúzman-Rabasa, J. A., & Valencia-Palomo, G. (2026). Wind turbine fault diagnosis using structural analysis and optimized-Rectangular GPR interval estimation. Control Engineering Practice, 172, 106940.  https://doi.org/10.1016/j.conengprac.2026.106940

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落地页

https://zenodo.org/api/records/18718184

许可证

CC-BY-4.0 (置信:未知)

国内可访问性

国内直连:可达 (2026-07-11 检测) 非直连:可达 (2026-07-11 检测)
「直连超时」表示检测窗口内未完成,系慢或不稳定证据,不构成封锁证据。

发布年份

2026

发布方

Zenodo

设备类型

wind_turbine

PHM 任务

fault_diagnosis

故障工况

传感器

运行工况