Litcius/Paper detail

Wind turbine anomaly detection based on SCADA: A deep autoencoder enhanced by fault instances

Jiarui Liu, Guotian Yang, Xinli Li, Qianming Wang, Yuchen He, Xiyun Yang

2023ISA Transactions43 citationsDOI

Topics & Concepts

AutoencoderDeep learningComputer scienceAnomaly detectionArtificial intelligenceDiscriminative modelFault detection and isolationPattern recognition (psychology)TurbineConvolutional neural networkFault (geology)Machine learningData miningEngineeringMechanical engineeringSeismologyGeologyActuatorMachine Fault Diagnosis TechniquesAnomaly Detection Techniques and ApplicationsEnergy Load and Power Forecasting
Wind turbine anomaly detection based on SCADA: A deep autoencoder enhanced by fault instances | Litcius