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	Application of neural network in metal loss evaluation for gas conducting pipelines
	Zhang, Wei ; Guo, Jing-Tao ; Huang, Song-Ling
	2010-05-10 ; 2010-05-10
会议名称	ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 3, PROCEEDINGS ; 3rd International Symposium on Neural Networks (ISNN 2006) ; Chengdu, PEOPLES R CHINA ; Web of Science ; INSPEC
关键词	Computer Science, Theory & Methods
中文摘要	An application based on BP neural network is conducted on evaluating the state of metal loss in gas conducting pipelines. We employ network to quantify the defects of metal loss in outer pipe spool according to the w(m) l(m) and h(m) of MFL (magnetic flux leakage), which are the width, length and depth of the area of abnormal magnetic data. After quantifying, we obtain w, l and d, which are deemed to the width, length and depth of the defect. The data to train our networks are developed from MFL data which are picked by Pipe Pig moving in service pipe with a constant velocity parallel to pipe axis.
会议录出版者	SPRINGER-VERLAG BERLIN ; BERLIN ; HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
语种	英语 ; 英语
内容类型	会议论文
源URL	[http://hdl.handle.net/123456789/18988]
专题	清华大学
推荐引用方式 GB/T 7714	Zhang, Wei,Guo, Jing-Tao,Huang, Song-Ling. Application of neural network in metal loss evaluation for gas conducting pipelines[C]. 见:ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 3, PROCEEDINGS, 3rd International Symposium on Neural Networks (ISNN 2006), Chengdu, PEOPLES R CHINA, Web of Science, INSPEC.

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