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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …