A Hybrid Intelligent Model for the Condition Monitoring and Diagnostics of Wind Turbines Gearbox

A Hybrid Intelligent Model for the Condition Monitoring and Diagnostics of Wind Turbines Gearbox

Wind turbines (WTs) are often operated in harsh and remote environments, thus making them more prone to faults and costly repairs. Additionally, the recent surge in wind farm installations have resulted in a dramatic increase in wind turbine data. Intelligent condition monitoring and fault warning s...

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Bibliographic Details
Main Authors: Azim Heydari, Davide Astiaso Garcia, Afef Fekih, Farshid Keynia, Lina Bertling Tjernberg, Livio De Santoli
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Automatic clustering
condition monitoring
forecasting
GMDH neural network
multi-verse optimization
wind turbine assessment
Online Access:https://ieeexplore.ieee.org/document/9459745/

Internet

https://ieeexplore.ieee.org/document/9459745/

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