QQ客服 官方微博 反馈留言

	A novel method for spacecraft electrical fault detection based on FCM clustering and WPSVM classification with PCA feature extraction
	Li, Ke; Wu, Yalei; Song, Shimin; Sun, Yi; Wang, Jun; Li, Yang
刊名	PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING
	2017
卷号	231页码:98-108
关键词	Classification clustering algorithms FCM PCA WPSVM spacecraft fault diagnosis
ISSN号	0954-4100
DOI	10.1177/0954410016638874
URL标识	查看原文
收录类别	SCIE ; EI
WOS记录号	WOS:000397214800008
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5941838
专题	北京航空航天大学
推荐引用方式 GB/T 7714	Li, Ke,Wu, Yalei,Song, Shimin,et al. A novel method for spacecraft electrical fault detection based on FCM clustering and WPSVM classification with PCA feature extraction[J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING,2017,231:98-108.
APA	Li, Ke,Wu, Yalei,Song, Shimin,Sun, Yi,Wang, Jun,&Li, Yang.(2017).A novel method for spacecraft electrical fault detection based on FCM clustering and WPSVM classification with PCA feature extraction.PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING,231,98-108.
MLA	Li, Ke,et al."A novel method for spacecraft electrical fault detection based on FCM clustering and WPSVM classification with PCA feature extraction".PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING 231(2017):98-108.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。