中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Metal Identification Based on Laser-induced Breakdown Spectroscopy and BP Neural Network

文献类型:会议论文

作者Shi YZ(史友振); Sun LX(孙兰香); Zhang, Ying
出版日期2016
会议名称International Conference on Electrical Engineering and Automation (ICEEA)
会议日期December 18-19, 2016
会议地点Xiamen, China
关键词LIBS Scrap metal sorting The BP neural network
通讯作者Shi YZ(史友振)
中文摘要For sorting scrap metal materials, the ultimate goal is to separate some scrap metal from other scrap metal materials completely. In this paper, Laser-Induced Breakdown Spectroscopy (LIBS) is used to take sample data from cooked aluminum, aluminum, magnesium, stainless steel, iron, copper, and zinc 7 metal samples seven scrap metal samplings with principal component analysis methods of data reduction. And BP neural network is used to the classification of aluminum and non-aluminum metals, Experiment results show that the classification accuracy up to 93.40%. These results provide a method for sorting scrap metal and reference data with BP neural network and LIBS technique, which make online scrap metal sorting get better result.
收录类别CPCI(ISTP)
产权排序2
会议录2016 INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND AUTOMATION (ICEEA 2016)
会议录出版者DESTECH PUBLICATIONS, INC
会议录出版地LANCASTER
语种英语
ISSN号2475-885X
ISBN号978-1-60595-407-3
WOS记录号WOS:000406674000059
源URL[http://ir.sia.cn/handle/173321/20855]  
专题沈阳自动化研究所_工业控制网络与系统研究室
作者单位1.Key Laboratory of Industrial Informatics, Shenyang Institute of Automation, Chinese Academy of Sciences, Liaoning, Shenyang 110016, China
2.Shenyang Jianzhu University, Liaoning, Shenyang 110168, China
推荐引用方式
GB/T 7714
Shi YZ,Sun LX,Zhang, Ying. Metal Identification Based on Laser-induced Breakdown Spectroscopy and BP Neural Network[C]. 见:International Conference on Electrical Engineering and Automation (ICEEA). Xiamen, China. December 18-19, 2016.

入库方式: OAI收割

来源:沈阳自动化研究所

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