Fiber-Optic Telecommunication Network Wells Monitoring by Phase-Sensitive Optical Time-Domain Reflectometer with Disturbance Recognition

Autor:	Andrey A. Zhirnov, German Y. Chesnokov, Konstantin V. Stepanov, Tatyana V. Gritsenko, Roman I. Khan, Kirill I. Koshelev, Anton O. Chernutsky, Cesare Svelto, Alexey B. Pnev, Olga V. Valba
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	fiber optic sensor distributed fiber optic sensor phi-OTDR acoustic monitoring machine learning telecommunication well Electrical and Electronic Engineering Biochemistry Instrumentation Atomic and Molecular Physics and Optics Analytical Chemistry
Zdroj:	Sensors; Volume 23; Issue 10; Pages: 4978
ISSN:	1424-8220
DOI:	10.3390/s23104978
Popis:	The paper presents the application of a phase-sensitive optical time-domain reflectometer (phi-OTDR) in the field of urban infrastructure monitoring. In particular, the branched structure of the urban network of telecommunication wells. The encountered tasks and difficulties are described. The possibilities of usage are substantiated, and the numerical values of the event quality classification algorithms applied to experimental data are calculated using machine learning methods. Among the considered methods, the best results were shown by convolutional neural networks, with a probability of correct classification as high as 98.55%.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::930dc4ace874a565f45a56f09d89edf2 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
Nepřihlášeným uživatelům se plný text nezobrazuje	K zobrazení výsledku je třeba se přihlásit.