Fault detection of wind turbines using SCADA data and genetic algorithm-based ensemble learning

Prince Waqas Khan; Chan Yeob Yeun; Yung Cheol Byun

doi:10.1016/j.engfailanal.2023.107209

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JOURNAL ARTICLE

Fault detection of wind turbines using SCADA data and genetic algorithm-based ensemble learning

Prince Waqas Khan Chan Yeob Yeun Yung Cheol Byun

Year: 2023 Journal: Engineering Failure Analysis Vol: 148 Pages: 107209-107209 Publisher: Elsevier BV

DOI: 10.1016/j.engfailanal.2023.107209

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Keywords:

SCADA Wind power Genetic algorithm Fault detection and isolation Fault (geology) Computer science Ensemble learning Algorithm Engineering Artificial intelligence Machine learning Electrical engineering Geology Seismology

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Topics

Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Electricity Theft Detection Techniques

Physical Sciences → Engineering → Electrical and Electronic Engineering

Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Fault detection of wind turbines using SCADA data and genetic algorithm-based ensemble learning

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Citation History

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