Fault detection of wind turbines using SCADA data and genetic algorithm-based ensemble learning
Author:
Funder
Jeju National University
Publisher
Elsevier BV
Subject
General Engineering,General Materials Science
Reference51 articles.
1. Hybrid control of DC-DC power converters;Cervantes;Renew. Energy,2009
2. Grid integration challenges of wind energy: A review;Ahmed;IEEE Access,2020
3. Environmental issues associated with wind energy–A review;Dai;Renew. Energy,2015
4. Damage detection techniques for wind turbine blades: A review;Du;Mech. Syst. Signal Process.,2020
5. A case study of wind turbine rotor over-speed fault diagnosis using combination of SCADA data, vibration analyses and field inspection;Morshedizadeh;Eng. Fail. Anal.,2023
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