Fault detection framework in wind turbine pitch systems using machine learning: Development, validation, and results

Filipe de Lima Munguba, Caio; Villa Ochoa, Alvaro Antonio; de Novaes Pires Leite, Gustavo; Araújo da Costa, Alexandre Carlos; Peixoto da Costa, José Ângelo; Duarte de Menezes, Frederico; Alves de Mendonça, Evandro Pedro; de Petribú Brennand, Leonardo José; de Castro Vilela, Olga; Guedes de Souza, Marrison Gabriel

doi:10.1016/j.engappai.2024.109307

Engineering Applications of Artificial Intelligence

2024

DOI: 10.1016/j.engappai.2024.109307

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Fault detection framework in wind turbine pitch systems using machine learning: Development, validation, and results

Caio Filipe de Lima Munguba,

Alvaro Antonio Villa Ochoa,

Gustavo de Novaes Pires Leite

et al.

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Machine learning for a sustainable energy future

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Kilic

et al. 2025

Chem. Commun.

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Machine learning for a sustainable energy future

Oral,

Coşgun,

Kilic

et al. 2025

Chem. Commun.

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Fault detection framework in wind turbine pitch systems using machine learning: Development, validation, and results

Cited by 1 publication

References 48 publications

Machine learning for a sustainable energy future

Machine learning for a sustainable energy future

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