Litcius/Paper detail

Identification of asynchronous motor and transformer situations in thermal images by utilizing transfer learning-based deep learning architectures

Gönül Sakallı, Hasan Koyuncu

2022Measurement16 citationsDOI

Topics & Concepts

Induction motorTransformerComputer scienceStatorAsynchronous communicationArtificial intelligenceFault SimulatorEngineeringVoltageFault detection and isolationElectrical engineeringActuatorStuck-at faultComputer networkNon-Destructive Testing TechniquesPower Transformer Diagnostics and InsulationMachine Fault Diagnosis Techniques
Identification of asynchronous motor and transformer situations in thermal images by utilizing transfer learning-based deep learning architectures | Litcius