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Article

A Multi-Position Approach in a Smart Fiber-Optic Surveillance System for Pipeline Integrity Threat Detection

1
Information Technology, Escuela Politécnica Superior, Fundación Universitaria San Pablo CEU, 28668 Madrid, Spain
2
Electronics department, Escuela Politécnica Superior, Universidad de Alcalá, 28801 Madrid, Spain
3
Instituto de Óptica, Consejo Superior de Investigaciones Científicas (CISC), 28006 Madrid, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Daniele Riboni
Electronics 2021, 10(6), 712; https://doi.org/10.3390/electronics10060712
Received: 24 February 2021 / Revised: 11 March 2021 / Accepted: 15 March 2021 / Published: 18 March 2021
(This article belongs to the Special Issue Pattern Recognition and Applications)
We present a new pipeline integrity surveillance system for long gas pipeline threat detection and classification. The system is based on distributed acoustic sensing with phase-sensitive optical time domain reflectometry (ϕ-OTDR) and pattern recognition for event classification. The proposal incorporates a multi-position approach in a Gaussian Mixture Model (GMM)-based pattern classification system which operates in a real-field scenario with a thorough experimental procedure. The objective is exploiting the availability of vibration-related data at positions nearby the one actually producing the main disturbance to improve the robustness of the trained models. The system integrates two classification tasks: (1) machine + activity identification, which identifies the machine that is working over the pipeline along with the activity being carried out, and (2) threat detection, which aims to detect suspicious threats for the pipeline integrity (independently of the activity being carried out). For the machine + activity identification mode, the multi-position approach for model training obtains better performance than the previously presented single-position approach for activities that show consistent behavior and high energy (between 6% and 11% absolute) with an overall increase of 3% absolute in the classification accuracy. For the threat detection mode, the proposed approach gets an 8% absolute reduction in the false alarm rate with an overall increase of 4.5% absolute in the classification accuracy. View Full-Text
Keywords: pipeline integrity threat monitoring; distributed acoustic sensing; fiber-optic; ϕ-OTDR; pattern recognition pipeline integrity threat monitoring; distributed acoustic sensing; fiber-optic; ϕ-OTDR; pattern recognition
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MDPI and ACS Style

Tejedor, J.; Macias-Guarasa, J.; Martins, H.F.; Martin-Lopez, S.; Gonzalez-Herraez, M. A Multi-Position Approach in a Smart Fiber-Optic Surveillance System for Pipeline Integrity Threat Detection. Electronics 2021, 10, 712. https://doi.org/10.3390/electronics10060712

AMA Style

Tejedor J, Macias-Guarasa J, Martins HF, Martin-Lopez S, Gonzalez-Herraez M. A Multi-Position Approach in a Smart Fiber-Optic Surveillance System for Pipeline Integrity Threat Detection. Electronics. 2021; 10(6):712. https://doi.org/10.3390/electronics10060712

Chicago/Turabian Style

Tejedor, Javier, Javier Macias-Guarasa, Hugo F. Martins, Sonia Martin-Lopez, and Miguel Gonzalez-Herraez. 2021. "A Multi-Position Approach in a Smart Fiber-Optic Surveillance System for Pipeline Integrity Threat Detection" Electronics 10, no. 6: 712. https://doi.org/10.3390/electronics10060712

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