English   español  
Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/167645
COMPARTIR / IMPACTO:
Estadísticas
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:
Título

Towards detection of pipeline integrity threats using a SmarT fiber-OPtic surveillance system: PIT-STOP project blind field test results

AutorTejedor, J.; Macías-Guarasa, Javier; Martins, H.F.; Piote, Daniel; Pastor-Graells, Juan; Martín-López, Sonia; Corredera, Pedro ; Pauw, G. de; Smet, F. de; Postvoll, W.; Ahien, C. H.; González-Herráez, M.
Palabras claveVibration sensing
Intrusion monitoring
Pipeline Integrity
Phase-sensitive OTDR
Pattern recognition.
Acoustic sensing
Distributed ber sensing
Fecha de publicación24-abr-2017
EditorSociety of Photo-Optical Instrumentation Engineers
CitaciónSPIE, 25th International Conference on Optical Fiber Sensors, Proceedings Volume 10323 (2017)
ResumenThis 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.
Descripción4 pags., 1 fig., 1 tab.
Versión del editorhttps://doi.org/10.1117/12.2263357
URIhttp://hdl.handle.net/10261/167645
Identificadoresdoi: 10.1117/12.2263357
Aparece en las colecciones: (CFMAC-IO) Artículos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
accesoRestringido.pdf15,38 kBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo
 


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.