CARE to Compare: A Real-World Benchmark Dataset for Early Fault Detection in Wind Turbine Data

CARE to Compare: A Real-World Benchmark Dataset for Early Fault Detection in Wind Turbine Data

Early fault detection plays a crucial role in the field of predictive maintenance for wind turbines, yet the comparison of different algorithms poses a difficult task because domain-specific public datasets are scarce. Many comparisons of different approaches either use benchmarks composed of data f...

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Bibliographic Details
Main Authors: Christian Gück, Cyriana M. A. Roelofs, Stefan Faulstich
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Data
Subjects:
dataset
early fault detection
wind turbines
predictive maintenance
anomaly detection
condition monitoring
Online Access:https://www.mdpi.com/2306-5729/9/12/138
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