Scipediacontent: Scipediacontent moved page Draft Content 525493386 to Gonzalez-Herraez et al 2019a

2021-02-16T11:23:54Z

Scipediacontent moved page Draft Content 525493386 to Gonzalez-Herraez et al 2019a

Scipediacontent: Created page with " == Abstract == This paper presents a novel pipeline integrity surveillance system aimed to the detection and classification of threats in the vicinity of a long gas pipeline..."

2021-02-16T11:23:50Z

Created page with " == Abstract == This paper presents a novel pipeline integrity surveillance system aimed to the detection and classification of threats in the vicinity of a long gas pipeline..."

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== Abstract ==

This paper presents a novel pipeline integrity surveillance system aimed to the detection and classification of threats in the vicinity of a long gas pipeline. The sensing system is based on phase-sensitive optical time domain reflectometry ( $\phi$ -OTDR) technology for signal acquisition and pattern recognition strategies for threat identification. The proposal incorporates contextual information at the feature level in a Gaussian Mixture Model-Hidden Markov Model (GMM-HMM)-based pattern classification system and applies a system combination strategy for acoustic trace decision. System combination relies on majority voting of the decisions given by the individual contextual information sources and the number of states used for HMM modelling. The system runs in two different modes: (1) machine+activity identification, which recognizes the activity being carried out by a certain machine, and (2) threat detection, aimed to detect threats no matter what the real activity being conducted is. In comparison with the previous systems based on the same rigorous experimental setup, the results show that the system combination from the contextual feature information and the GMM-HMM approach improves the results for both machine+activity identification (7.6% of relative improvement with respect to the best published result in the literature on this task) and threat detection (26.6% of relative improvement in the false alarm rate with 2.1% relative reduction in the threat detection rate). Commission of the European Communities Joint Ministerio de Economía y Competitividad Comunidad de Madrid

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.1109/jlt.2019.2908816 http://dx.doi.org/10.1109/jlt.2019.2908816]

* [http://hdl.handle.net/10017/39513 http://hdl.handle.net/10017/39513]

* [http://hdl.handle.net/10261/209986 http://hdl.handle.net/10261/209986]

* [http://xplorestaging.ieee.org/ielx7/50/8844328/08680010.pdf?arnumber=8680010 http://xplorestaging.ieee.org/ielx7/50/8844328/08680010.pdf?arnumber=8680010],
: [http://dx.doi.org/10.1109/jlt.2019.2908816 http://dx.doi.org/10.1109/jlt.2019.2908816]

* [https://www.osapublishing.org/jlt/abstract.cfm?uri=jlt-37-18-4514 https://www.osapublishing.org/jlt/abstract.cfm?uri=jlt-37-18-4514],
: [https://ieeexplore.ieee.org/document/8680010 https://ieeexplore.ieee.org/document/8680010],
: [https://ebuah.uah.es/dspace/handle/10017/39513 https://ebuah.uah.es/dspace/handle/10017/39513],
: [https://digital.csic.es/handle/10261/209986 https://digital.csic.es/handle/10261/209986],
: [http://ui.adsabs.harvard.edu/abs/2019JLwT...37.4514T/abstract http://ui.adsabs.harvard.edu/abs/2019JLwT...37.4514T/abstract],
: [http://www.geintra-uah.org/heimdal/es/contextual-gmm-hmm-smart-fiber-optic-surveillance-system-pipeline-integrity-threat-detection http://www.geintra-uah.org/heimdal/es/contextual-gmm-hmm-smart-fiber-optic-surveillance-system-pipeline-integrity-threat-detection],
: [https://academic.microsoft.com/#/detail/2932098423 https://academic.microsoft.com/#/detail/2932098423]

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Gonzalez-Herraez et al 2019a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 525493386 to Gonzalez-Herraez et al 2019a

Scipediacontent: Created page with " == Abstract == This paper presents a novel pipeline integrity surveillance system aimed to the detection and classification of threats in the vicinity of a long gas pipeline..."