Toward Prevention of Pipeline Integrity Threats Using a Smart Fiber-Optic Surveillance System
This paper presents the first available report in the literature of a system aimed at the detection and classification of threats in the vicinity of a long gas pipeline. The system is based on phase-sensitive optical time-domain reflectometry technology for signal acquisition and pattern recognition...
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Published in | Journal of lightwave technology Vol. 34; no. 19; pp. 4445 - 4453 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
IEEE
01.10.2016
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Subjects | |
Online Access | Get full text |
ISSN | 0733-8724 1558-2213 |
DOI | 10.1109/JLT.2016.2542981 |
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Abstract | This paper presents the first available report in the literature of a system aimed at the detection and classification of threats in the vicinity of a long gas pipeline. The system is based on phase-sensitive optical time-domain reflectometry technology for signal acquisition and pattern recognition strategies for threat identification. The system operates in two different modes: 1) machine+activity identification, which outputs the activity being carried out by a certain machine; and 2) threat detection, aimed at detecting threats no matter what the real activity being conducted is. Different strategies dealing with position selection and normalization methods are presented and evaluated using a rigorous experimental procedure on realistic field data. Experiments are conducted with eight machine+activity pairs, which are further labeled as threat or nonthreat for the second mode of the system. The results obtained are promising given the complexity of the task and open the path to future improvements toward fully functional pipeline threat detection systems operating in real conditions. |
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AbstractList | This paper presents the first available report in the literature of a system aimed at the detection and classification of threats in the vicinity of a long gas pipeline. The system is based on phase-sensitive optical time-domain reflectometry technology for signal acquisition and pattern recognition strategies for threat identification. The system operates in two different modes: 1) machine+activity identification, which outputs the activity being carried out by a certain machine; and 2) threat detection, aimed at detecting threats no matter what the real activity being conducted is. Different strategies dealing with position selection and normalization methods are presented and evaluated using a rigorous experimental procedure on realistic field data. Experiments are conducted with eight machine+activity pairs, which are further labeled as threat or nonthreat for the second mode of the system. The results obtained are promising given the complexity of the task and open the path to future improvements toward fully functional pipeline threat detection systems operating in real conditions. |
Author | Macias-Guarasa, Javier Gonzalez-Herraez, Miguel Martins, Hugo F. Piote, Daniel Corredera Guillen, Pedro Pastor-Graells, Juan Postvoll, Willy Martin-Lopez, Sonia De Smet, Filip Tejedor, Javier |
Author_xml | – sequence: 1 givenname: Javier surname: Tejedor fullname: Tejedor, Javier email: javier.tejedor@depeca.uah.es organization: Dept. of Electron., Univ. of Alcala, Alcala de Henares, Spain – sequence: 2 givenname: Hugo F. surname: Martins fullname: Martins, Hugo F. email: hugo.martins@focustech.eu organization: FOCUS S.L., Madrid, Spain – sequence: 3 givenname: Daniel surname: Piote fullname: Piote, Daniel email: daniel.piote@focustech.eu organization: FOCUS S.L., Madrid, Spain – sequence: 4 givenname: Javier surname: Macias-Guarasa fullname: Macias-Guarasa, Javier email: javier.tejedor@depeca.uah.es organization: Dept. of Electron., Univ. of Alcala, Alcala de Henares, Spain – sequence: 5 givenname: Juan surname: Pastor-Graells fullname: Pastor-Graells, Juan email: juan.pastor@depeca.uah.es organization: Dept. of Electron., Univ. of Alcala, Alcala de Henares, Spain – sequence: 6 givenname: Sonia surname: Martin-Lopez fullname: Martin-Lopez, Sonia email: sonia.martin@depeca.uah.es organization: Dept. of Electron., Univ. of Alcala, Alcala de Henares, Spain – sequence: 7 givenname: Pedro surname: Corredera Guillen fullname: Corredera Guillen, Pedro email: miguelg@depeca.uah.es organization: Inst. de Opt., Consejo Super. de Investig. Cientificas, Madrid, Spain – sequence: 8 givenname: Filip surname: De Smet fullname: De Smet, Filip email: Filip.DeSmet@fluxys.com organization: Fluxys Belgium S.A., Brussels, Belgium – sequence: 9 givenname: Willy surname: Postvoll fullname: Postvoll, Willy email: wp@gassco.no organization: Gassco AS, Kopervik, Norway – sequence: 10 givenname: Miguel surname: Gonzalez-Herraez fullname: Gonzalez-Herraez, Miguel email: miguelg@depeca.uah.es organization: Dept. of Electron., Univ. of Alcala, Alcala de Henares, Spain |
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SubjectTerms | Acoustics Distributed acoustic sensing (DAS) Feature extraction fiber-optic systems Optical fiber sensors Optical fibers phase-sensitive optical time-domain reflectometry ( phi-OTDR) pipeline integrity threat monitoring Pipelines |
Title | Toward Prevention of Pipeline Integrity Threats Using a Smart Fiber-Optic Surveillance System |
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