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チョウ ゼンシュン
Zhang Shanjun 張 善俊 所属 神奈川大学 情報学部 計算機科学科 神奈川大学大学院 理学研究科 理学専攻（情報科学領域） 職種 教授 |
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| 言語種別 | 英語 |
| 発行・発表の年月 | 2021/01 |
| 形態種別 | 学術雑誌 |
| 査読 | 査読あり |
| 標題 | Pattern Recognition of Development Stage of Creepage Discharge of Oil Paper Insulation under ACDC Combined Voltage Based on OS-ELM |
| 執筆形態 | 共著 |
| 掲載誌名 | Energies, EISSN 1996-1073 |
| 掲載区分 | 国外 |
| 出版社・発行元 | MDPI (https://www.mdpi.com/) |
| 巻・号・頁 | 14(3),pp.552-564 |
| 著者・共著者 | Fubao Jin,Shanjun Zhang andYuanxiang Zhou |
| 概要 | The recognition of the creepage discharge development process of oil paper insulation under ACDC combined voltage is the basis for fault monitoring and diagnosis of converter transformers; Only a few related studies are available. In this study, the ACDC combined voltage with a ratio of 1 to 1 was used to develop a recognition method for the creepage discharge development process of an oil paper insulation under a cylinder plate electrode structure. Four stages of the creepage discharge development process were recognized using the OSELM algorithm; the trend was the same as that of the characteristic parameters of the entire creepage discharge development process. The recognition accuracy was 91.4%. The algorithm has a high computing speed and high accuracy and can train data in batches. |
| DOI | https://doi.org/10.3390/en14030552 |
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