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

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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Bibliographic Details
Main Authors: Sang-Hun Kim, Dong-Yeon Yoo, Sang-Won An, Ye-Seul Park, Jung-Won Lee, Kyo-Beum Lee
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Open-switch fault detection
hybrid active neutral-point inverter
silicon carbide
deep learning
convolution neural network
Online Access:https://ieeexplore.ieee.org/document/9146864/

Internet

https://ieeexplore.ieee.org/document/9146864/

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