Review on fault‐diagnosis and fault‐tolerance for DC–DC converters

GK Kumar, D Elangovan - IET Power Electronics, 2020 - Wiley Online Library
The DC–DC converters operate extensively in a variety of industrial applications such as
electric vehicles, renewable energy systems, aerospace applications, consumer electronics …

Parameters identification of a permanent magnet dc motor: A review

MF Fazdi, PW Hsueh - Electronics, 2023 - mdpi.com
Since permanent magnet direct current (DC) motors are mainly used in various industrial
automation applications, the demand for electric motors is increasing rapidly. However, in …

A digital twin based estimation method for health indicators of DC–DC converters

Y Peng, S Zhao, H Wang - IEEE Transactions on Power …, 2020 - ieeexplore.ieee.org
This article proposes a health indicator estimation method based on the digital-twin concept
aiming for condition monitoring of power electronic converters. The method is noninvasive …

Parameter estimation of power electronic converters with physics-informed machine learning

S Zhao, Y Peng, Y Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Physics-informed machine learning (PIML) has been emerging as a promising tool for
applications with domain knowledge and physical models. To uncover its potentials in …

An online data-driven method for simultaneous diagnosis of IGBT and current sensor fault of three-phase PWM inverter in induction motor drives

B Gou, Y Xu, Y Xia, Q Deng, X Ge - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article presents an online data-driven diagnosis method for multiple insulated gate
bipolar transistors (IGBTs) open-circuit faults and current sensor faults in the three-phase …

OASIS-P: Operable adaptive sparse identification of systems for fault prognosis of chemical processes

B Bhadriraju, JSI Kwon, F Khan - Journal of Process Control, 2021 - Elsevier
With the increasing process complexities, data-driven fault prognosis has emerged as a
promising fault management tool that predicts and manages abnormal events well in …

A fault diagnosis and postfault reconfiguration scheme for interleaved boost converter in PV-based system

MW Ahmad, NBY Gorla, H Malik… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
To utilize the solar photovoltaic (PV) energy efficiently, dc-dc converters are widely used in
both grid-connected and stand-alone systems. Among the various topologies, interleaved dc …

System-Level Performance Degradation Prediction for Power Converters Based on SSA–Elman NN and Empirical Knowledge

Y Zeng, T Huang, T Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The degradation of power converter performance is one of the most critical issues of
complex system with the improvement of power capacity and density. Power converter bears …

A data-driven method for IGBT open-circuit fault diagnosis based on hybrid ensemble learning and sliding-window classification

Y Xia, Y Xu, B Gou - IEEE Transactions on Industrial Informatics, 2019 - ieeexplore.ieee.org
In this article, a novel data-driven method is proposed for open-circuit fault diagnosis of
insulated gate bipolar transistor used in three-phase pulsewidth modulation converter …

Advances on system identification techniques for DC–DC switch mode power converter applications

M Al-Greer, M Armstrong, M Ahmeid… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
System identification is fundamental in many recent state-of-the-art developments in power
electronic such as modeling, parameter tracking, estimation, self-tuning and adaptive …