"Fault detection framework in wind turbine pitch systems using machine ..."

Caio Filipe de Lima Munguba et al. (2024)

> Home

Details and statistics

DOI: 10.1016/J.ENGAPPAI.2024.109307

access: closed

type: Journal Article

metadata version: 2025-05-31

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/eaai/MungubaOLCCMMBVS24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/eaai/MungubaOLCCMMBVS24
Caio Filipe de Lima Munguba, Alvaro Antonio Villa Ochoa, Gustavo de Novaes Pires Leite, Alexandre Carlos Araújo da Costa, José Ângelo Peixoto da Costa, Frederico Duarte de Menezes, Evandro Pedro Alves de Mendonça, Leonardo José Petribú Brennand, Olga de Castro Vilela, Marrison Gabriel Guedes de Souza:
Fault detection framework in wind turbine pitch systems using machine learning: Development, validation, and results. Eng. Appl. Artif. Intell. 138: 109307 (2024)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.