CORC  > 大连理工大学
Quantitative evaluation of surface crack depth with a scanning laser source based on particle swarm optimization-neural network
Li, Kesi; Ma, Zhiyuan; Fu, Pan; Krishnaswamy, Sridhar
刊名NDT & E INTERNATIONAL
2018
卷号98页码:208-214
关键词Scanning laser source Crack detection NDE Neural network
ISSN号0963-8695
URL标识查看原文
WOS记录号[DB:DC_IDENTIFIER_WOSID]
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/3261228
专题大连理工大学
作者单位1.Southwest Jiaotong Univ, Dept Mech Engn, Chengdu 610031, Sichuan, Peoples R China.
2.Northwestern Univ, Ctr Smart Struct & Mat, Evanston, IL 60208 USA.
3.Northwestern Univ, Ctr Smart Struct & Mat, Evanston, IL 60208 USA.
4.Dalian Univ Technol, NDT & E Lab, Dalian 116024, Peoples R China.
5.Southwest Jiaotong Univ, Dept Mech Engn, Chengdu 610031, Sichuan, Peoples R China.
6.Northwestern Univ, Ctr Smart Struct & Mat, Evanston, IL 60208 USA.
推荐引用方式
GB/T 7714
Li, Kesi,Ma, Zhiyuan,Fu, Pan,et al. Quantitative evaluation of surface crack depth with a scanning laser source based on particle swarm optimization-neural network[J]. NDT & E INTERNATIONAL,2018,98:208-214.
APA Li, Kesi,Ma, Zhiyuan,Fu, Pan,&Krishnaswamy, Sridhar.(2018).Quantitative evaluation of surface crack depth with a scanning laser source based on particle swarm optimization-neural network.NDT & E INTERNATIONAL,98,208-214.
MLA Li, Kesi,et al."Quantitative evaluation of surface crack depth with a scanning laser source based on particle swarm optimization-neural network".NDT & E INTERNATIONAL 98(2018):208-214.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

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。


©版权所有 ©2017 CSpace - Powered by CSpace