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...

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Bibliographic Details
Main Authors: Ali Sharida, Naheel Faisal Kamal, Hussein Alnuweiri, Sertac Bayhan, Haitham Abu-Rub
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Open Journal of the Industrial Electronics Society
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10167800/