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.
Authors
- Feng Wen (ORCID: https://orcid.org/0000-0002-6882-5602)
- Jianing Li
- Ge Yu (ORCID: https://orcid.org/0000-0002-3171-8889)
- Jiaqi Guo (ORCID: https://orcid.org/0000-0001-7557-0356)
- Jiaming Liu (ORCID: https://orcid.org/0009-0006-1299-9044)
- Shutao Hao
Institutions
- Nanjing University of Science and Technology (CN)
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
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Jiangsu Province