SIA OpenIR  > 工业控制网络与系统研究室
A structural damage detection and classification algorithm based on clone selection
Zhou Y(周悦); Jia XS(贾雪松); Qiao F(乔枫); Zang CZ(臧传治)
Department工业控制网络与系统研究室
Conference Name2013 5th International Conference on Modelling, Identification and Control, ICMIC 2013
Conference DateAugust 31 - September 2, 2013
Conference PlaceCairo, Egypt
Author of SourceCairo University; Faculty of Engineering; International Journal of Modelling, Identification and Control; Egyptian Engineers Syndicate; The Institute of Electrical and Electronics Engineers (IEEE)
Source Publication2013 Proceedings of International Conference on Modelling, Identification and Control, ICMIC 2013
PublisherIEEE Computer Society
Publication PlaceWashington, DC
2013
Pages333-338
Indexed ByEI
EI Accession number20135217146942
Contribution Rank2
ISBN978-0-9567157-3-9
KeywordAlgorithms Antibodies Cloning Damage Detection Experiments Identification (Control Systems) Immune System Semiconductor Storage Structural Analysis Structural Health Monitoring
AbstractInspired by identification ability of biological immune system, damage detection and classification problem in structural health monitoring is studied based on the autonomous, adaptive and evolutional artificial immune theory and method. A structural damage detection and classification algorithm based on clone selection principle is proposed. The algorithm samples data of structure model as antigen which stimulates the antibody sets. In order to improve the quality of memory cells, the antibodies go through learning and evolving process including cloning, mutation and selection. At last memory cell sets of high quality are used to detect and classify measured data. The experiment results of the proposed algorithm using benchmark structure model show that the algorithm can identify and classify the structural patterns exactly. The parameter settings which can achieve high classification success rate are proposed on the results analysis of experiment in this paper.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/14576
Collection工业控制网络与系统研究室
Recommended Citation
GB/T 7714
Zhou Y,Jia XS,Qiao F,et al. A structural damage detection and classification algorithm based on clone selection[C]//Cairo University; Faculty of Engineering; International Journal of Modelling, Identification and Control; Egyptian Engineers Syndicate; The Institute of Electrical and Electronics Engineers (IEEE). Washington, DC:IEEE Computer Society,2013:333-338.
Files in This Item: Download All
File Name/Size DocType Version Access License
A structural damage (1103KB)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
[Zhou Y(周悦)]'s Articles
[Jia XS(贾雪松)]'s Articles
[Qiao F(乔枫)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhou Y(周悦)]'s Articles
[Jia XS(贾雪松)]'s Articles
[Qiao F(乔枫)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhou Y(周悦)]'s Articles
[Jia XS(贾雪松)]'s Articles
[Qiao F(乔枫)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: A structural damage detection and classification algorithm based on clone selection.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.
 

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