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《Journal of Transcluction Technology》 2004-03
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Neural Network-Style Fusion of Pipelines' Defect Data Scanned by Multi-Ultrasonic Sensors

CHEN Tian-lu, QUE Pei-wen, JIN Tao, LEI Hua-ming(Institute of Automatic Detection, Shanghai Jiaotong University, Shanghai 200030, China)  
According to the state of inspecting pipeline, the paper defects designs a testing system of ultrasonic sensor array . and applies neural network technology into the field of data fusion, The data of the pipeline defects gathered by scanning of those ultrasonic sensors are fused from the use of improved BP-LM algorithm.Inspection results in lab show that this data fusion method based on neural network optimizes data markedly. The improved BP-LM algorithm has better performance and shorter convergence time.
【Fund】: 国家 8 6 3计划资助项目 项目编号 :2 0 0 1AA6 0 2 0 2 1
【CateGory Index】: TP212
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【Citations】
Chinese Journal Full-text Database 1 Hits
1 LV Jun,ZHANG Xinghua (Nanjing University of Technology, Nanjing,210009,China);Study on Comparison of Fast BP Algorithms[J];现代电子技术;2003-24
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 Huangguowen Linwenfeng (China Mobile Group Guangdong Co.Ltd, NMC Guangzhou 510623,China);An evaluation method of WLAN network based on user perceived quality[J];中国新通信;2013-17
2 SU Rui,ZHANG Xiao-jie(College of Information and Control Engineering,Xi’an University of Architecture and Technology,Xi’an 710055,China);Study of Digital Recognition Based on BP Neural Network[J];电脑知识与技术;2013-14
3 ZHOU Sheng-gang1,ZHANG Zhe1,LIAO Yu-xiang1,SUN Li-da2(1.Faculty of Material Science and Engineering,Kunming University of Science and Technology,Kunming 650093,China; 2.College of Science,Honghe University,Mengzi,Yunnan 661400,China);Prediction of Interfacial Bonding Strength of Pb-Al Multilayer Materials Based on BP Neural Network[J];昆明理工大学学报(自然科学版);2013-01
4 MA Teng1,2,ZHOU Zhong-li1,2 ,CHEN Xiu-rong1,2 ,QIN Fei-long1,2 (1.Chengdu University of Technology, Chengdu 610059, China;2.Key Lab of Geo-mathematics of Sichuan Province, Chengdu 610059, China);Based on the improved conjugate gradient BP method of geochemical deposit prediction system development[J];软件;2012-11
5 Yu Zhihong,Wang Shuanqiao,Zhang Ping,Jia Chao (College of Mechanical and Electrical Engineering,Inner Mongolia Agricultural University,Hohhot 010018,China);Experiment on automatic shape identification of hatching eggs based on improved genetic algorithm neural network[J];农业工程学报;2009-10
6 CHEN Zhaoyang,XING Xiaoshuai,LI Yue(Physics and Information Engineering College,Shanxi Normal University,Linfen,041004,China);Implement of Conjugate Gradient BP Algorithm in Matlab 7.0[J];现代电子技术;2009-18
7 GAO Fu-qianga,ZOU Hengb,QIN Chang-shuob,XU Min-jianb,YANG Yongb(a.ICT Research Center;b.College of Automation,Chongqing University,Chongqing 400030,China);Comparison with BP and RBF neural network used in English Letters Recognition[J];重庆工学院学报(自然科学版);2009-09
8 WAN Hong FENG Xiang-rong LV Ming-xiang (College of electrical engineering zheng Zhou University, Zheng Zhou, 450001, China) (The Information Engineering University of PLA,Zhengzhou, 450002,China);Application of the improved BP algorithm to the recognition of word with noise[J];微计算机信息;2008-30
9 Lai Shuyu,Li Xiangming,Duan Tao(School of Automation,Wuhan University of Technology,Wuhan 430070,China);Recognition of License Plate Chinese Character Based on Gabor Filters and BP Neural Networks[J];湖南工业大学学报;2008-05
10 LI Wen-feng,LIU Jun-ying,SHENG Lei(School of Mechanical Engineering,Shandong University of Technology,Zibo 255049,China);The stability and improvements of PID neural network control system[J];山东理工大学学报(自然科学版);2008-02
【Secondary Citations】
Chinese Journal Full-text Database 1 Hits
1 WANG Xiao\|ping, HUANG Hai, JIANG Hua\|bing\;(Dept. of Scientific Instruments Engineering, Zhejiang Univ., Hangzhou, 310027, China);The improving of Vogl quick algorithm for BP neural network[J];浙江大学学报(工学版);2000-02
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