Early detection of pipeline integrity threats using a SmarT Fiber- OPtic surveillance system: The PIT-STOP project
Autor: | Pedro Corredera, Miguel Gonzalez-Herraez, Daniel Piote, Javier Tejedor, Javier Macias-Guarasa, F. De Smet, Juan Pastor-Graells, Carl Henrik Ahlen, Willy Postvoll, Hugo F. Martins, Sonia Martin-Lopez |
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Přispěvatelé: | Universidad de Alcalá. Departamento de Electrónica |
Jazyk: | angličtina |
Rok vydání: | 2015 |
Předmět: |
Intrusion monitoring
Engineering Optical fiber Distributed fiber sensing Vibration sensing Early detection Computer security computer.software_genre Acoustic sensing law.invention Phase-sensitive otdr law Pattern recognition TECHNOLOGY biology business.industry Curitiba biology.organism_classification Pipeline (software) Pipeline integrity CIENCIAS TECNOLÓGICAS Electrónica Electronics Telecommunications business computer |
Zdroj: | e_Buah Biblioteca Digital Universidad de Alcalá instname |
Popis: | 24th International Conference on Optical Fibre Sensors, Curitiba, Brazil, September 28, 2015. The preliminary results of a surveillance system set up for real time monitoring activities along a pipeline and analyzing for possible threats are presented. The system consists of a phi-OTDR based sensor used to monitor vibrations along an optical fiber combined with a pattern recognition system that classifies the recorded signals. The acoustic traces generated by the activities of different machines at various locations along a pipeline were recorded in the field. The signals, corresponding to machinery activities, were clearly distinguished from background noise. A threat classification rate of 68.11% with 55.55% false alarms was obtained. European Commission Ministerio de Economía y Competitividad Comunidad de Madrid Universidad de Alcalá Ministerio de Ciencia e Innovación |
Databáze: | OpenAIRE |
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