QQ客服 官方微博 反馈留言

	A NEW APPROACH OF TOOL WEAR CONDITION MONITORING BASED ON TEXTURE IMAGE RECOGNITION
	Ren, XH; Xu, WD; ASME
刊名	FIFTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER THEORY AND ENGINEERING (ICACTE 2012)
	2012
页码	173-178
关键词	component Texture image Tool wear condition real-time monitoring Identification and Diagnosis LVQ neural network
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/1841920
专题	四川大学
作者单位	Sichuan Univ Sci & Engn, Coll Automat & Elect Informat, Zigong 643000, Peoples R China
推荐引用方式 GB/T 7714	Ren, XH,Xu, WD,ASME. A NEW APPROACH OF TOOL WEAR CONDITION MONITORING BASED ON TEXTURE IMAGE RECOGNITION[J]. FIFTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER THEORY AND ENGINEERING (ICACTE 2012),2012:173-178.
APA	Ren, XH,Xu, WD,&ASME.(2012).A NEW APPROACH OF TOOL WEAR CONDITION MONITORING BASED ON TEXTURE IMAGE RECOGNITION.FIFTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER THEORY AND ENGINEERING (ICACTE 2012),173-178.
MLA	Ren, XH,et al."A NEW APPROACH OF TOOL WEAR CONDITION MONITORING BASED ON TEXTURE IMAGE RECOGNITION".FIFTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER THEORY AND ENGINEERING (ICACTE 2012) (2012):173-178.

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。