Paper
23 April 2017 Towards detection of pipeline integrity threats using a smart fiber optic surveillance system: PIT-STOP project blind field test results
J. Tejedor, J. Macias-Guarasa, H. F. Martins, D. Piote, J. Pastor-Graells, S. Martin-Lopez, P. Corredera, G. De Pauw, F. De Smet, W. Postvoll, C. H. Ahlen, M. Gonzalez-Herraez
Author Affiliations +
Proceedings Volume 10323, 25th International Conference on Optical Fiber Sensors; 103231K (2017) https://doi.org/10.1117/12.2263357
Event: 25th International Conference on Optical Fiber Sensors, 2017, Jeju, Korea, Republic of
Abstract
This paper presents the first report on on-line and final blind field test results of a pipeline integrity threat surveillance system. The system integrates a machine+activity identification mode, and a threat detection mode. Two different pipeline sections were selected for the blind tests: One close to the sensor position, and the other 35 km away from it. Results of the machine+activity identification mode showed that about 46% of the times the machine, the activity or both were correctly identified. For the threat detection mode, 8 out of 10 threats were correctly detected, with 1 false alarm.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. Tejedor, J. Macias-Guarasa, H. F. Martins, D. Piote, J. Pastor-Graells, S. Martin-Lopez, P. Corredera, G. De Pauw, F. De Smet, W. Postvoll, C. H. Ahlen, and M. Gonzalez-Herraez "Towards detection of pipeline integrity threats using a smart fiber optic surveillance system: PIT-STOP project blind field test results", Proc. SPIE 10323, 25th International Conference on Optical Fiber Sensors, 103231K (23 April 2017); https://doi.org/10.1117/12.2263357
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Cited by 4 scholarly publications.
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KEYWORDS
Acoustics

Surveillance systems

Fiber optics

Sensors

Classification systems

Fiber optics tests

Sensing systems

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