干旱区生态环境知识资源中心(Arid): Prediction of Flashover Voltage on 11 kV Composite Insulator Using Kernel Support Vector Machine

Arid

DOI	10.1007/978-981-15-0184-5_5
	Prediction of Flashover Voltage on 11 kV Composite Insulator Using Kernel Support Vector Machine
	Kumar, K.; Vigneshwaran, B.; Priya, K. Vishnu; Vadivoo, T. Sreevidya Chidambara
通讯作者	Kumar, K (corresponding author), Natl Engn Coll, Dept EEE, Kovilpatti 628503, Tamil Nadu, India.
会议名称	8th International Conference on Soft Computing for Problem Solving (SocProS)
会议日期	DEC 17-19, 2018
会议地点	Vellore Inst Technol, Vellore, INDIA
英文摘要	This paper presents the forecasting of flashover mechanism on polymeric insulator using nonlinear support vector machine regression (NLSVMR). In transmission and distribution systems, insulator plays a vital role in steadiness of the power systems. Flashover of composite insulators makes the whole system into danger. For the past decades, owing to good hydrophobicity properties of composite insulators made a replacement of porcelain insulators in service. To analyze the performance of composite insulator for long-term process, it is necessary to predict their pollution performance behavior before the breakdown occurs. In this proposed work, 11 kV composite insulator with three straight shed with clevis end fitting (Type A) and three alternate sheds with ball end fitting (Type B) are taken into consideration for flashover prediction. For experimental analysis, solid layer method was used in artificial pollution test, in which coastal, desert, and industrial pollution layer is used for further analysis. Using even-rising method, the flashover voltage has been obtained for different equivalent salt deposit density (ESDD) values. Finally, radial basis function (RBF) SVMR shows better flashover prediction when compared to linear and polynomial NLSVMR.
英文关键词	Solid layer method Flashover mechanism ESDD NLSVMR RBF
来源出版物	SOFT COMPUTING FOR PROBLEM SOLVING, SOCPROS 2018, VOL 2
ISSN	2194-5357
EISSN	2194-5365
出版年	2020
卷号	1057
页码	43-54
ISBN	978-981-15-0184-5; 978-981-15-0183-8
出版者	SPRINGER-VERLAG SINGAPORE PTE LTD
类型	Proceedings Paper
语种	英语
收录类别	CPCI-S
WOS记录号	WOS:000631850100005
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications ; Computer Science, Theory & Methods
WOS研究方向	Computer Science
资源类型	会议论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/353181
作者单位	[Kumar, K.; Vigneshwaran, B.; Priya, K. Vishnu; Vadivoo, T. Sreevidya Chidambara] Natl Engn Coll, Dept EEE, Kovilpatti 628503, Tamil Nadu, India
推荐引用方式 GB/T 7714	Kumar, K.,Vigneshwaran, B.,Priya, K. Vishnu,et al. Prediction of Flashover Voltage on 11 kV Composite Insulator Using Kernel Support Vector Machine[C]:SPRINGER-VERLAG SINGAPORE PTE LTD,2020:43-54.