Data for MM92 (2018)

Zenodo2018-07-13 更新2026-04-07 收录

风力涡轮机监测

声学热成像诊断

数据链接：

https://zenodo.org/doi/10.5281/zenodo.15004893 数据链接链接失效反馈

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资源简介：

This file contains dat (static pressure, dynamic pressure from a array of microphones and theromgraphic fotographs) for a measurement campain o a SENVION MM92 wind turbine in July 2019

创建时间：

2018-07-13

Wind turbine condition monitoring dataset of Fraunhofer LBF

风力涡轮机监测

多源传感器数据融合

Fraunhofer wind turbine dataset contains monitoring data from a 750 W wind turbine (WT), including accelerometers and tachometer, to capture structural response, bearing vibrations and rotational velo

Mendeley Data2024-06-29 更新740

Transfer learning-based fault detection in wind turbine blades using radar plots and deep learning models

风力涡轮机监测

深度学习

Faults in wind turbine blades are considered a critical issue that can affect the safety and performance of wind turbines. The proposed research aimed to monitor wind turbine blades and identify fault

DataCite Commons2024-02-13 更新130

Data for MM92 (2018)

风力涡轮机监测

物理性能分析

This file contains dat (static pressure, dynamic pressure from a array of microphones and theromgraphic fotographs) for a measurement campain o a SENVION MM92 wind turbine in July 2019

NIAID Data Ecosystem40

Multimodal dataset for w ind t urbine b lade m onitoring during l ightning s trikes

风力涡轮机监测

雷击损伤评估

Lightning strikes pose a significant threat to the structural integrity and operational performance of wind turbine blades. Due to the high probability of lightning strikes but the difficulty in ca

DataCite Commons2025-06-27 更新160

Transfer learning-based fault detection in wind turbine blades using radar plots and deep learning models

风力涡轮机监测

深度学习

DataCite Commons2025-05-01 更新100