Litcius/Paper detail

Matching contrastive learning: An effective and intelligent method for wind turbine fault diagnosis with imbalanced SCADA data

Shilin Sun, Wenyang Hu, Yuekai Liu, Tianyang Wang, Fulei Chu

2023Expert Systems with Applications55 citationsDOI

Topics & Concepts

SCADAComputer scienceTurbineMatching (statistics)Fault (geology)Wind powerArtificial intelligenceMachine learningEngineeringMathematicsAerospace engineeringGeologyElectrical engineeringSeismologyStatisticsElectricity Theft Detection TechniquesMachine Fault Diagnosis TechniquesEnergy Load and Power Forecasting
Matching contrastive learning: An effective and intelligent method for wind turbine fault diagnosis with imbalanced SCADA data | Litcius