Numerical and Experimental Performance Analysis of the Chirped Fiber Bragg Grating Based Abrasion Sensor for the Maintenance Applications in the Industry 4.0

Konrad Markowski , Kacper Wojakowski , Ernest Pokropek , Michał Marzęcki


In this article, an extensive analysis of the performance of the fiber optics-based abrasion sensor that utilizes chirped fiber Bragg grating, is presented. For the response investigation during abrasion, a numerical analysis, based on the transfer matrix method and coupled mode theory, is provided. The influence of the SLED source spectral position in respect to the spectral position of the chirped fiber Bragg grating is evaluated together with the influence of the changes of the ambient temperature of the sensor. Experimental verification of the sensor’s performance is provided, together with the proposition of the packaging of the sensor. In the article, a simple, cost-effective and multiplexation-ready concept of the wear or abrasion sensor system is presented and discussed.
Author Konrad Markowski (FEIT / IT)
Konrad Markowski,,
- The Institute of Telecommunications
, Kacper Wojakowski - [Politechnika Warszawska]
Kacper Wojakowski,,
, Ernest Pokropek - [Politechnika Warszawska]
Ernest Pokropek,,
, Michał Marzęcki (FEIT / IT)
Michał Marzęcki,,
- The Institute of Telecommunications
Journal seriesSensors, [SENSORS-BASEL], ISSN 1424-8220, e-ISSN 1424-3210
Issue year2020
Publication size in sheets38.5
Keywords in Englishfiber Bragg grating; fiber optic sensor; abrasion sensor; maintenance; Industry 4.0
ASJC Classification1303 Biochemistry; 1602 Analytical Chemistry; 2208 Electrical and Electronic Engineering; 3107 Atomic and Molecular Physics, and Optics
Languageen angielski
LicenseJournal (articles only); author's original; Uznanie Autorstwa (CC-BY); after publication
2020 Marzecki Markowski Numerical and Experimental Performance Analysis.pdf 3.46 MB
Score (nominal)100
Score sourcejournalList
ScoreMinisterial score = 100.0, 18-09-2020, ArticleFromJournal
Publication indicators Scopus Citations = 0; WoS Citations = 0; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 1.393; WoS Impact Factor: 2018 = 3.031 (2) - 2018=3.302 (5)
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