DeepFedWT: A federated deep learning framework for fault detection of wind turbines
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation
Reference36 articles.
1. Gwec—global wind report 2022;Council,2021
2. A review of failure modes, condition monitoring and fault diagnosis methods for large-scale wind turbine bearings;Liu;Measurement,2020
3. A survey of health monitoring systems for wind turbines;Wymore;Renew. Sustain. Energy Rev.,2015
4. Wind turbine condition monitoring based on a novel multivariate state estimation technique;Wang;Measurement,2021
5. An overview on fault diagnosis, prognosis and resilient control for wind turbine systems;Gao;Processes,2021
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