Machine learning-based prediction of on-state voltage for real-time health monitoring of IGBT

Machine learning-based prediction of on-state voltage for real-time health monitoring of IGBT

Real-time temperature monitoring of power semiconductors is a powerful tool for the predictive maintenance and lifetime prediction of power converters, and is typically performed by measuring temperature sensitive electrical parameters (TSEP). In this work, we demonstrate a machine learning-based me...

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Bibliographic Details
Main Authors: Tanya Thekemuriyil, Jaspera Dominique Rohner, Renato Amaral Minamisawa
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Power Electronic Devices and Components
Subjects:
Condition monitoring
Machine learning
Power electronic converters
Predictive maintenance
Si IGBT
Online Access:http://www.sciencedirect.com/science/article/pii/S2772370423000172

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http://www.sciencedirect.com/science/article/pii/S2772370423000172

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