Analyzing Distributed Vibrating Sensing Technologies in Optical Meshes.

distribution vibration sensing frequency division multiplexing optical meshes phase optical time/frequency domain reflectometry

Journal

Micromachines
ISSN: 2072-666X
Titre abrégé: Micromachines (Basel)
Pays: Switzerland
ID NLM: 101640903

Informations de publication

Date de publication:
05 Jan 2022
Historique:
received: 01 11 2021
revised: 27 12 2021
accepted: 28 12 2021
entrez: 21 1 2022
pubmed: 22 1 2022
medline: 22 1 2022
Statut: epublish

Résumé

Hundreds of kilometers of optical fibers are installed for optical meshes (OMs) to transmit data over long distances. The visualization of these deployed optical fibers is a highlighted issue because the conventional procedure can only measure the optical losses. Thus, this paper presents distributed vibration sensing (DVS) estimation mechanisms to visualize the optical fiber behavior installed for OMs which is not possible by conventional measurements. The proposed technique will detect the power of light inside the optical fiber, as well as different physical parameters such as the phase of transmitted light inside the thread, the frequency of vibration, and optical losses. The applicability of optical frequency domain reflectometry (OFDR) and optical time-domain reflectometry (OTDR) DVS techniques are validated theoretically for various state detection procedures in optical fibers. The simulation model is investigated in terms of elapsed time, the spectrum of a light signal, frequency, and the impact of many external physical accidents with optical fibers.

Identifiants

pubmed: 35056250
pii: mi13010085
doi: 10.3390/mi13010085
pmc: PMC8780534
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : The project was supported by the Ministry of Science and Higher Education, Republic of 135 Poland
ID : (grant no. E-3/2021)

Références

Entropy (Basel). 2020 Sep 22;22(9):
pubmed: 33286831
Opt Express. 2012 Jun 4;20(12):13138-45
pubmed: 22714342
Appl Opt. 1998 Apr 1;37(10):1735-40
pubmed: 18273081
Opt Express. 2018 Jun 25;26(13):17437-17446
pubmed: 30119555
Sci Rep. 2019 Feb 4;9(1):1328
pubmed: 30718538
Nat Commun. 2019 Dec 18;10(1):5778
pubmed: 31852889
Appl Opt. 2016 Aug 20;55(24):6735-9
pubmed: 27556996
Nat Commun. 2018 Jul 3;9(1):2509
pubmed: 29970883
Opt Express. 2015 Dec 28;23(26):33301-9
pubmed: 26831995
Opt Express. 2018 Apr 16;26(8):10573-10588
pubmed: 29715992
Opt Express. 2016 Jun 13;24(12):13121-33
pubmed: 27410330

Auteurs

Saifur Rahman (S)

Electrical Engineering Department, College of Engineering, Najran University Saudi Arabia, Najran 61441, Saudi Arabia.

Farman Ali (F)

Department of Electrical Engineering, Qurtuba University of Science and IT, D. I. Khan 29050, Pakistan.

Fazal Muhammad (F)

Department of Electrical Engineering, University of Engineering Technology, Mardan 23200, Pakistan.

Muhammad Irfan (M)

Electrical Engineering Department, College of Engineering, Najran University Saudi Arabia, Najran 61441, Saudi Arabia.

Adam Glowacz (A)

Department of Automatic Control and Robotics, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, AGH University of Science and Technology, al. A. Mickiewicza 30, 30-059 Krakow, Poland.

Mohammed Shahed Akond (M)

Electrical Engineering Department, College of Engineering, Najran University Saudi Arabia, Najran 61441, Saudi Arabia.

Ammar Armghan (A)

Department of Electrical Engineering, College of Engineering, Jouf University, Sakaka 72388, Saudi Arabia.

Salim Nasar Faraj Mursal (SN)

Electrical Engineering Department, College of Engineering, Najran University Saudi Arabia, Najran 61441, Saudi Arabia.

Amjad Ali (A)

Department of Electrical Engineering, Jalozai Campus, University of Engineering and Technology, Peshawar 24240, Pakistan.

Fahad Salem Alkahtani (FS)

Electrical Engineering Department, College of Engineering, Najran University Saudi Arabia, Najran 61441, Saudi Arabia.

Classifications MeSH