Fault Detection Method Using a Convolution Neural Network for Hybrid Active Neutral-Point Clamped Inverters

This article presents an open-switch fault detection method for a hybrid active neutral-point clamped (HANPC) inverter based on deep learning technology. The HANPC inverter generates a three-level output voltage with four silicon switches and two silicon carbide switches per phase. The probability o...

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Veröffentlicht in:	IEEE access 2020, Vol.8, p.140632-140642
Hauptverfasser:	Kim, Sang-Hun, Yoo, Dong-Yeon, An, Sang-Won, Park, Ye-Seul, Lee, Jung-Won, Lee, Kyo-Beum
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Circuit faults Circuits Clamping Convolution convolution neural network deep learning Fault detection Feature extraction hybrid active neutral-point inverter Insulated gate bipolar transistors Inverters Neural networks Open-switch fault detection Phase current Power converters Silicon carbide Switches
Online-Zugang:	Volltext
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