Open Circuit (OC) and Short Circuit (SC) IGBT Switch Fault Detection in Three-Phase Standalone Photovoltaic Inverters Using Shallow Neural Networks
Author:
Affiliation:
1. The University of the South Pacific,School of Information Technology, Engineering, and Physics,Suva,Fiji
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9982721/9982797/09983112.pdf?arnumber=9983112
Reference13 articles.
1. Neural network based fault diagnosis and reconfiguration method for multilevel inverter;xu;Chinese Control Decis Conf 2008,2008
2. Artificial Neural Network Approach Assessment of Short-Circuit Fault Detection in a Three Phase Inverter
3. Siamese Neural Network Architecture for Fault Detection in a Voltage Source Inverter
4. Detection of Stator Fault in Synchronous Reluctance Machines Using Shallow Neural Networks
5. A Literature Review of IGBT Fault Diagnostic and Protection Methods for Power Inverters
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1. Toward Physics-Informed Machine-Learning-Based Predictive Maintenance for Power Converters—A Review;IEEE Transactions on Power Electronics;2024-02
2. Enhancing Open Circuit Switch Fault Localization in Two-Level Voltage Source Inverters through Machine Learning with 3D Current Trajectory Analysis;2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG);2023-12-03
3. Open-circuit fault diagnosis of three-phase PWM rectifier circuits based on transient characteristics and random forest classification;Journal of Power Electronics;2023-10-17
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