SIA OpenIR  > 智能检测与装备研究室
Control Chart Patterns Recognition based on DAG-SVM
Xiao ZB(肖忠保); Chen SH(陈书宏)
Department智能检测与装备研究室
Conference Name6th International Conference on Manufacturing Science and Engineering (ICMSE)
Conference DateNovember 28-29, 2015
Conference PlaceGuangzhou, PEOPLES R CHINA
Source PublicationPROCEEDINGS OF THE 2015 6TH INTERNATIONAL CONFERENCE ON MANUFACTURING SCIENCE AND ENGINEERING
PublisherATLANTIS PRESS
Publication PlacePARIS
2015
Pages1056-1062
Indexed ByCPCI(ISTP)
WOS IDWOS:000388457800193
Contribution Rank1
ISSN2352-5401
ISBN978-94-6252-137-7
KeywordDag Svm Pso
AbstractStatistical process control charts have been widely utilized in manufacturing processes for determining whether a process is run in its intended mode or in the presence of unnatural patterns, it's a multi-class classifier problem. Effective approaches to recognize control chart patterns is essential for a manufacturing process to maintain high-quality products. This paper we use the Directed Acyclic Graph(DAG) tree learning architecture, which combines many two-class classifiers together to solve the multi-class classifier problem. For each node we chose the support vector machine(SVM) using a particle swarm optimization(PSO) algorithm to optimize the parameter of the SVM kernel function. Here the PSO not only takes the kernel function parameters as variables but also the feature vector of the SVM to optimize. Simulation results show the propose algorithm achieves a high recognition accuracy and solve the unable recognition area.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/19490
Collection智能检测与装备研究室
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.University of the Chinese Academy of Sciences, Beijing 100049, China
Recommended Citation
GB/T 7714
Xiao ZB,Chen SH. Control Chart Patterns Recognition based on DAG-SVM[C]. PARIS:ATLANTIS PRESS,2015:1056-1062.
Files in This Item: Download All
File Name/Size DocType Version Access License
Control Chart Patter(1413KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Xiao ZB(肖忠保)]'s Articles
[Chen SH(陈书宏)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Xiao ZB(肖忠保)]'s Articles
[Chen SH(陈书宏)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Xiao ZB(肖忠保)]'s Articles
[Chen SH(陈书宏)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Control Chart Patterns Recognition based on DAG-SVM.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.