講演抄録/キーワード |
講演名 |
2009-11-20 16:30
Research on Mechanical Fault Recognition of Circuit Breaker Based on SVM Mingzhe Rong・Dongyan Li・○Xiaohua Wang・Ting Wang・Yi Wu(Xi'an Jiaotong Univ.) EMD2009-104 エレソ技報アーカイブへのリンク:EMD2009-104 |
抄録 |
(和) |
The on-line fault recognition for Circuit Breakers (CBs) is very important when the condition monitoring of CBs is realized. In this paper, a new efficiency fault recognition method is provided, by using Support Vector Machines (SVMs). ANN and SVM are compared on their recognition accuracy, which shows that the SVM is more efficient. The algorithm of SVM is improved, and the improved SVM can obtain higher recognition accuracy. |
(英) |
The on-line fault recognition for Circuit Breakers (CBs) is very important when the condition monitoring of CBs is realized. In this paper, a new efficiency fault recognition method is provided, by using Support Vector Machines (SVMs). ANN and SVM are compared on their recognition accuracy, which shows that the SVM is more efficient. The algorithm of SVM is improved, and the improved SVM can obtain higher recognition accuracy. |
キーワード |
(和) |
Circuit Breakers / fault recognition / SVM / mechanical fault / / / / |
(英) |
Circuit Breakers / fault recognition / SVM / mechanical fault / / / / |
文献情報 |
信学技報, vol. 109, no. 287, EMD2009-104, pp. 149-152, 2009年11月. |
資料番号 |
EMD2009-104 |
発行日 |
2009-11-12 (EMD) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
EMD2009-104 エレソ技報アーカイブへのリンク:EMD2009-104 |