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Detection of wind turbine rotor imbalance using unsupervised output-only vibration data analysis

With the increasing adoption of wind energy, monitoring systems are crucial to ensuring optimal turbine operation and reliability. This work contributes a methodology to detect rotor imbalance in wind turbines using output-only vibration data. Furthermore, an extended isolation forest algorithm is p...

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Principais autores: Iván González, Abel Gómez, Yolanda Vidal, Christian Tutivén
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier 2025-09-01
Serier:Energy and AI
Fag:
Wind turbine
Condition monitoring
Rotor imbalance
Fault detection
Vibration
Extended isolation forest
Online adgang:http://www.sciencedirect.com/science/article/pii/S2666546825000977
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