Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《China Mechanical Engineering(中国机械工程)》 2006-01
Add to Favorite Get Latest Update

Support Vector Machine and Chaos-genetic Optimization Based Ultrasonic Flaw Identification

Liu Qingkun Que Peiwen Guo Huawei Song Shoupeng Shanghai Jiao Tong University, 200030  
Automatic identification of flaws is very important for ultrasonic nondestructive testing and evaluation of pipelines. A novel automatic identification system of flaws was presented. Wavelet packet decomposition (WPD) was applied to feature extraction of ultrasonic signals, chaos-genetic optimization to eliminate redundant and irrelevant features and support vector machine to perform the identification task.To validate this system, some experiments are performed and the results show the proposed system has very high identification performance for pipeline flaws and outperforms other discussed methods.
【Fund】: 国家863高技术研究发展计划资助项目(2001AA602021)
【CateGory Index】: TB559
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
【References】
Chinese Journal Full-text Database 8 Hits
1 ;Feature Selection for SVM Based on Improved Genetic Algorithm[J];Electronic Engineering & Product World;2010-Z1
2 WANG Ling-yun1,HUANG Hong-hui 1,WANG Xue2,XIE Zhi-jiang2(1.Department of Mechanical and Electrical Engineering,Hunan Vocation Institute of Science and Technology,Changsha 410118,China;2.College of Mechanical Engineering,Chongqing University,Chongqing 400030,China);The Study on Key Technology of Faults Detecting on Surface of Rail Steel Based on Machine Vision[J];Journal of Chongqing University(Natural Science Edition);2007-09
3 Wang Xue Yue Haifeng Xie Zhijiang et al;DEVELOPMENT OF FULL DIGITAL ENVIRONMENTAL MONITORING SYSTEM IN PAN STEEL WORKS[J];Environmental Engineering;2007-04
4 WANG Feng;Study to the Flaw Identification of Ultrasonic Testing based on Optimal Support Vector Machines[J];Microcomputer Information;2008-18
5 Zheng Xue-ping1,Wang Xue2,Li Tai-fu2(1 Chongqing General Natural Gas Purification Plant,PetroChina Southwest Oil&Gasfield Company,Chongqing 404305,CHN;2 Electric Information Engineering College,Chongqing Science and Technology University,Chongqing 400032,CHN);Field fault diagnosis method for rotating machine based on fusion method of fuzzy reasoning and SVM[J];Modern Manufacturing Engineering;2008-09
6 Zhao Xiufen1,Yin Guofu1,Tian Guiyun2,Yin Ying2(1 College of Manufacturing Science and Engineering,Sichuan University,Chengdu 610065,China;2 School of Electrical,Electronic and Computer Engineering,University of Newcastle,UK);Study on flaw identification of ultrasonic signal for large shafts based on optimal support vector machine[J];Chinese Journal of Scientific Instrument;2008-05
7 QIN Pin-pin 1,2 (1 College of Transportation ,Southwest Jiaotong University, Chengdu 610031, China 2 College of Mechanical Engineering, Guangxi University,Nanning 530005, China);Incident Detection on Highway Based on Support Vector Machines[J];China Safety Science Journal(CSSJ);2007-01
8 WANG Li-hua,ZHANG Yong-hong (College of Information and Control Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,China);Application of Feature Extraction and Selection of Ultrasonic Signal in Ultrasonic Flaw Echo Identification[J];Machine Building & Automation;2011-06
【Co-references】
Chinese Journal Full-text Database 10 Hits
1 Fan Wenbing1,Wang Quanquan1,Lei Tianyou2,Xing Junyang1(1.School of Information Engineering,Zhengzhou University,Zhengzhou 450001,China;2.Office of Scientific Research,Zhenzhou University,Zhengzhou 450001,China);A Method of Malfunction Images Recognition and Classification Based on Relief[J];Ordnance Industry Automation;2010-10
2 Chen Shuyue Liu Guangpu Yu Hongying Huang Jinying (North China Institute of Technology, Taiyuan, 030051);A NEURAL NETWORK APPROACH FOR THE ACOUSTIC DIAGNOSIS OF ADHESIVE BOND QUALITY BETWEEN METALLIC AND NONMETALLIC COMPONENTS[J];Acta Armamentarii;2001-01
3 ZHANG Hao,TAO Ran,LI Zhi-yong,DU Hua (School of Information Science and Technology,Beijing Institute of Technology,Beijing 100081,China);A Feature Selection Method Based on Adaptive Simulated Annealing Genetic Algorithm[J];Acta Armamentarii;2009-01
4 LI Hui-fang1,CHANG Ning2(1.Technology Department of Engineering,Beijing Electronic Science and Technology Vocational College,Beijing 100029,China;2.Chinese People's Armed Police Force Academy,Langfang 065000,Hebei,China);Quantitative Detection of Adhesive Bond Quality Between Metallic and Nonmetallic Components Based on the Neural Networks[J];Journal of Beijing University of Technology;2009-08
5 Chen Yi Li Shu(School of Aeronautic Science and Technology,Beijing University of Aeronautics and Astronautics,Beijing 100083,China);Application of improved threshold denoising based on wavelet transform to ultrasonic signal processing[J];Journal of Beijing University of Aeronautics and Astronautics;2006-04
6 LU Wei-guo~1,DAI Ya-ping~1,TU Xu-yan~1,GAO Feng~2(1.Department of Automatic Control, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China; 2.Dali University, Dali, Yunnan650093, China);Weighted Support Vector Machine Method Suitable for Weighted Sample Set[J];Journal of Beijing Institute of Technology;2005-03
7 Sheng Sha 1 Dai Bo 2 Xie Zurong 2 Cao Xiankun 1 (1 Wuhan University of Technology, Wuhan 430000; 2 Department of Automation, Beijing Institute of Petro-chemical Technology, Beijing 102617);Research on Technique of Intelligent Ultrasonic Pipeline Pig for Signal Processing[J];Journal of Beijing Institufe of Petrochemical Technology;2004-01
8 LUO Xiao-bo1,DENG Lei2,YANG Fu-ping1(1.College of Computer Science and Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,P.R.China; 2.College of Resource Environment and Tourist,Capital Normal University.Beijing 100048,P.R.China);Research on remote sensing image classification based on Kohonen neural network[J];Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition);2011-05
9 WAN\ Dan, ZHANG Ya-fei (Research Institute of Micro/Nano Science and Technology,Shanghai JiaoTong University, Shanghai 200030, China);Research of Gas Classification Based on SVM Compared with BP[J];Journal of Transcluction Technology;2005-01
10 LI Zheng,LUO Fei-lu,PAN Meng-chun(College of Mechatronics Engineering and Automation,National University of Defense Technology,Changsha 410073,China);Ultrasonic Test of Aero-engine Blades Based on Support Vector Machine[J];Chinese Journal of Sensors and Actuators;2008-11
【Secondary References】
Chinese Journal Full-text Database 10 Hits
1 YANG Li-juan1,WU Guo-he2,YUAN Ai-gen2,XIAO Jin-qiu1(1. Electronic Information School,University of Science Technology of Suzhou,Suzhou Jiangsu 215011,China;2. Suzhou Product Quality Inspect Institute,Suzhou Jiangsu 215002,China);Development of Automatic Label Insulation Sheath Thickness and Shape Size Measuring System[J];Journal of Donghua University(Natural Science);2010-03
2 ZHANG Xing-lan1,OUYANG Qi2,ZHAO Li-ming2 (1.College of Computer Science & Technology, Chongqing University of Technology, Chongqing 400050,P.R. China;2.College of Material Science & Engineering, Chongqing University, Chongqing 400044, P.R. China);The image definition improved algorithm for hot continuous casting billet surface defects inspection[J];Journal of Chongqing University;2010-05
3 GUO Yong-cai,LI Zhe,GAO Chao (Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education, Chongqing University,Chongqing 400044,P.R. China);Design of nondestructive examination system for bridge cables surface defect[J];Journal of Chongqing University;2010-08
4 XIE Changgui;XIE Zhijiang;College of Mechanical Engineering,Chongqing University;College of Mechanical Engineering,Chongqing Vocational Institute of Engineering;;Key technology of detecting hot heavy rail steel surface faults based on machine vision[J];Journal of Chongqing University;2013-10
5 XIONG Yan-li;JMC Limited by Share Ltd foundry;;A New Method of Optical Detection for Steel Ball Surface Default[J];Equipment Manufacturing Technology;2015-08
6 LI Jian-jun,ZHANG jiang Central South University of Forestry Science and Technology,Changsha 410006,China;Traffic incident detection based on improved Adaboost method[J];Computer Engineering and Applications;2008-20
7 XU Ke YANG Chaolin ZHOU Peng LIANG Jing (National Engineering Research Center of Advanced Rolling Technology,University of Science and Technology Beijing , Beijing 100083);3D Detection Technique of Surface Defects for Steel Rails Based on Linear Lasers[J];Journal of Mechanical Engineering;2010-08
8 QIN Dong-hao,WANG Yu,GAO Da-lu,SUN Tao (School of Mechanical Engineering,Northwestern Polytechnical University,Xi'an 710072,China);Blemish Identify in Ultrasonic Testing of Friction Welded Joints Based on Support Vector Machine[J];Machinery & Electronics;2010-04
9 ZHANG Chao-yong,SU Zhen-wei,QIAO Li,CHEN Mou-qin(College of Manufacturing Science and Engineering,Sichuan University,Chengdu 610065,P.R.China);Inspection System for Detection of Defects on Rail Surface Based on LED and Linear Laser[J];Science Technology and Engineering;2012-36
10 Chen Mouqin,Su Zhenwei,Qiao Li,Zhang Chaoyong(School of Manufacturing Science and Engineering,Sichuan University,Chengdu 610065,China);An Inspection Method for Defects Detection on Rail Surface Using Two Types of Imaging System[J];Computer Measurement & Control;2013-05
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved