NDLI: Buried Pipeline Third-Party Damage Signals Classification Based on LS-SVM

Content Provider	IEEE Xplore Digital Library
Author	Qiang Wang Changmin Yuan Jianyun Zhu
Copyright Year	2006
Description	Author affiliation: Coll. of Metrol. Technol. & Eng., China Jiliang Univ., Hangzhou (Qiang Wang; Changmin Yuan)
Abstract	To monitor third-party damage (TPD) activities on oil transmission pipeline such as man-made drilling, hammering and excavating on metallic pipe, acoustic method is proposed based on wavelet packet energy feature extraction and least square support vector machine (LS-SVM). To effectively detect and classify pipe TPD signals with small sampling, multi-class LS-SVM classifier algorithm and a novel feature extraction method is presented. Original TPD signal is divided into third level with wavelet transform, then approximation signal which covers main information of TPD signal is extracted to be decomposed into third level with wavelet packet decomposition. Wavelet packet energy is selected as feature to LS-SVMs. Feature extraction method reduces computation cost of on-line implement. When detection spacing is 600m, four TPD signals: normal, drilling, hammering and excavating conditions, classification success rate is more than 85%. The monitoring system can effectively detect and classify pipe acoustic TPD signal
Starting Page	5032
Ending Page	5036
File Size	283892
Page Count	5
File Format	PDF
ISBN	1424403324
DOI	10.1109/WCICA.2006.1713346
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pipelines Pattern classification Wavelet packets Feature extraction Acoustic signal detection Drilling Condition monitoring Petroleum Acoustic waves Least squares methods support vector machine acoustic signal Third party damage wavelet packet decomposition
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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