A survey on signal processing methods in fiber optic sensor for oxidized carbon steel

This paper provides a broad overview of the adaptive methods for noise reduction used in the analysis of data in the different sensors such as acoustic emissions sensors, power quality signal analysis. The two algorithms are the Empirical Mode Decomposition and the Ensemble Empirical Mode Decomposit...

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Main Authors: Jaafar, N.S.M., Aziz, I.A., Jaafar, J., Mahmood, A.K., Gilal, A.R.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.23586 /
Published: Springer Verlag 2019
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048033354&doi=10.1007%2f978-3-319-91192-2_2&partnerID=40&md5=e069929e9c9bcd0859e9ed9b7b4b08f7
http://eprints.utp.edu.my/23586/
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spelling utp-eprints.235862021-08-19T07:56:17Z A survey on signal processing methods in fiber optic sensor for oxidized carbon steel Jaafar, N.S.M. Aziz, I.A. Jaafar, J. Mahmood, A.K. Gilal, A.R. This paper provides a broad overview of the adaptive methods for noise reduction used in the analysis of data in the different sensors such as acoustic emissions sensors, power quality signal analysis. The two algorithms are the Empirical Mode Decomposition and the Ensemble Empirical Mode Decomposition. We selected these two algorithms because our focus is on these methods. Firstly, this paper exhibits the inner workings of each algorithm both in the original authors� intuition and the mathematical model utilized. Next, we discuss the advantages of each of the algorithms based on recent and credible research papers and articles. We also critically dissect the limitations of each algorithm. This paper aims to give a general understanding on these algorithms which we hope will spur more research in improving the field of signal processing in the fiber optic sensor for the oxidised carbon steel. © 2019, Springer International Publishing AG, part of Springer Nature. Springer Verlag 2019 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048033354&doi=10.1007%2f978-3-319-91192-2_2&partnerID=40&md5=e069929e9c9bcd0859e9ed9b7b4b08f7 Jaafar, N.S.M. and Aziz, I.A. and Jaafar, J. and Mahmood, A.K. and Gilal, A.R. (2019) A survey on signal processing methods in fiber optic sensor for oxidized carbon steel. Advances in Intelligent Systems and Computing, 765 . pp. 13-24. http://eprints.utp.edu.my/23586/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description This paper provides a broad overview of the adaptive methods for noise reduction used in the analysis of data in the different sensors such as acoustic emissions sensors, power quality signal analysis. The two algorithms are the Empirical Mode Decomposition and the Ensemble Empirical Mode Decomposition. We selected these two algorithms because our focus is on these methods. Firstly, this paper exhibits the inner workings of each algorithm both in the original authors� intuition and the mathematical model utilized. Next, we discuss the advantages of each of the algorithms based on recent and credible research papers and articles. We also critically dissect the limitations of each algorithm. This paper aims to give a general understanding on these algorithms which we hope will spur more research in improving the field of signal processing in the fiber optic sensor for the oxidised carbon steel. © 2019, Springer International Publishing AG, part of Springer Nature.
format Article
author Jaafar, N.S.M.
Aziz, I.A.
Jaafar, J.
Mahmood, A.K.
Gilal, A.R.
spellingShingle Jaafar, N.S.M.
Aziz, I.A.
Jaafar, J.
Mahmood, A.K.
Gilal, A.R.
A survey on signal processing methods in fiber optic sensor for oxidized carbon steel
author_sort Jaafar, N.S.M.
title A survey on signal processing methods in fiber optic sensor for oxidized carbon steel
title_short A survey on signal processing methods in fiber optic sensor for oxidized carbon steel
title_full A survey on signal processing methods in fiber optic sensor for oxidized carbon steel
title_fullStr A survey on signal processing methods in fiber optic sensor for oxidized carbon steel
title_full_unstemmed A survey on signal processing methods in fiber optic sensor for oxidized carbon steel
title_sort survey on signal processing methods in fiber optic sensor for oxidized carbon steel
publisher Springer Verlag
publishDate 2019
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048033354&doi=10.1007%2f978-3-319-91192-2_2&partnerID=40&md5=e069929e9c9bcd0859e9ed9b7b4b08f7
http://eprints.utp.edu.my/23586/
_version_ 1741196699524661248
score 11.62408

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