Research on Fault Diagnosis Method for Wireless Power Transfer Systems Based on PSO-SVM

Wireless power transfer (WPT) systems may encounter issues such as device short circuits, open circuits, and parameter drifts during operation. If these faults are not promptly diagnosed and resolved, they can severely impact the system. This paper focuses on the research of fault diagnosis techniques for WPT systems. By using parameters such as current and voltage within the system, the particle swarm optimization (PSO) algorithm optimizes the support vector machine (SVM) model parameters, constructing a high-accuracy fault diagnosis model. A LCC-LCC type WPT system was built for simulation and experimental verification. The results demonstrate that the proposed method can achieve accurate fault diagnosis, effectively ensuring the safety of WPT systems.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/appeec61255.2024.10922364
Primary Topic
Wireless Sensor Networks and IoT
Type
article
Field-Weighted Citation Impact
0.00

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Research on Fault Diagnosis Method for Wireless Power Transfer Systems Based on PSO-SVM

Feng Wen, Jianing Li, Ge Yu, Jiaqi Guo et al.
Wireless Sensor Networks and IoT
article

Research on Fault Diagnosis Method for Wireless Power Transfer Systems Based on PSO-SVM

Feng Wen, Jianing Li, Ge Yu, Jiaqi Guo, Jiaming Liu, Shutao Hao
article en

Abstract

Wireless power transfer (WPT) systems may encounter issues such as device short circuits, open circuits, and parameter drifts during operation. If these faults are not promptly diagnosed and resolved, they can severely impact the system. This paper focuses on the research of fault diagnosis techniques for WPT systems. By using parameters such as current and voltage within the system, the particle swarm optimization (PSO) algorithm optimizes the support vector machine (SVM) model parameters, constructing a high-accuracy fault diagnosis model. A LCC-LCC type WPT system was built for simulation and experimental verification. The results demonstrate that the proposed method can achieve accurate fault diagnosis, effectively ensuring the safety of WPT systems.

Nanjing University of Science and Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province
Affordable and clean energy
Openalex Percentile: Top 64%
Wireless Sensor Networks and IoT
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