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Anomaly detection and diagnosis for wind turbines using long short-term memory-based stacked denoising autoencoders and XGBoost

Chen Zhang, Di Hu, Tao Yang

2022Reliability Engineering & System Safety187 citationsDOI

Topics & Concepts

Anomaly detectionWind powerComputer scienceKernel density estimationOutlierPattern recognition (psychology)Data setArtificial intelligenceFeature extractionMahalanobis distanceSupport vector machineMathematicsEngineeringStatisticsEstimatorElectrical engineeringEnergy Load and Power ForecastingPower System Reliability and MaintenanceMachine Fault Diagnosis Techniques
Anomaly detection and diagnosis for wind turbines using long short-term memory-based stacked denoising autoencoders and XGBoost | Litcius