QQ客服 官方微博 反馈留言

	Energy data clustering and fault recognition of engine based on principal component entropy (EI收录)
	Li, Huai-Jun[1]; Xie, Xiao-Peng[1]; Huang, Heng[1]
刊名	Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science)
	2013
卷号	41页码:137-142
关键词	Clustering algorithms Engines Entropy Maximum entropy methods
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2222465
专题	华南理工大学
作者单位	[1] Automobile Tribology and Fault Diagnosis Institute, South China University of Technology, Guangzhou 510640, Guangdong, China
推荐引用方式 GB/T 7714	Li, Huai-Jun[1],Xie, Xiao-Peng[1],Huang, Heng[1]. Energy data clustering and fault recognition of engine based on principal component entropy (EI收录)[J]. Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science),2013,41:137-142.
APA	Li, Huai-Jun[1],Xie, Xiao-Peng[1],&Huang, Heng[1].(2013).Energy data clustering and fault recognition of engine based on principal component entropy (EI收录).Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science),41,137-142.
MLA	Li, Huai-Jun[1],et al."Energy data clustering and fault recognition of engine based on principal component entropy (EI收录)".Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science) 41(2013):137-142.

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。