Digital-Twin-Based Diagnosis and Tolerant Control of T-Type Three-Level Rectifiers
This article proposes a digital twin (DT)-based diagnosis and fault-tolerant control for T-type three-level rectifiers. To develop the DT, a dense deep neural network (DNN) machine learning approach is used. The DT is trained offline using a set of experimental data and updated online to get the max...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
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Series: | IEEE Open Journal of the Industrial Electronics Society |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10167800/ |