RT info:eu-repo/semantics/conferenceObject
T1 A novel fiber optic based surveillance system for prevention of pipeline integrity threats
A1 Tejedor Noguerales, Javier
A1 Macías Guarasa, Javier
A1 Fidalgo Martins, Hugo
A1 Piote, D.
A1 Pastor Graells, Juan
A1 Martín López, Sonia
A1 Corredera, Pedro
A1 González Herráez, Miguel
K1 Distributed acoustic sensing
K1 Feature-level contextual information
K1 Fiber optic systems
K1 Pipeline integrity threat monitoring
K1 System combination
K1 φ-OTDR
K1 Ciencias tecnológicas
K1 Electrónica
K1 Technology
K1 Electronics
AB This paper presents a novel surveillance system aimed at 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 (φ-OTDR) technology for signal acquisition and pattern recognition strategies for threat identification. The proposal incorporates contextual information at the feature level and applies a system combination strategy for pattern classification. The contextual information at the feature level is based on the tandem approach (using feature representations produced by discriminatively-trained multi-layer perceptrons) by employing feature vectors that spread different temporal contexts. The system combination strategy is based on a posterior combination of likelihoods computed from different pattern classification processes. The system operates in two different modes: (1) machine + activity identification, which recognizes 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. In comparison with a previous system based on the same rigorous experimental setup, the results show that the system combination from the contextual feature information improves the results for each individual class in both operational modes, as well as the overall classification accuracy, with statistically-significant improvements.
SN 1424-8220
YR 2017
FD 2017-02-12
LK http://hdl.handle.net/10017/29278
UL http://hdl.handle.net/10017/29278
LA eng
NO European Commission
DS MINDS@UW
RD 19-abr-2024