NIR fibre bragg grating as dynamic sensor: An application of 1D digital wavelet analysis for signal denoising

Hafizi, ZM; Kahandawa, GC; Epaarachchi, J; Lau, KT; Canning, J; Cook, K

NIR fibre bragg grating as dynamic sensor: An application of 1D digital wavelet analysis for signal denoising

Hafizi, ZM Kahandawa, GC Epaarachchi, J Lau, KT Canning, J

Cook, K

Permalink

Publication Type:: Conference Proceeding
Citation:: Proceedings of SPIE - The International Society for Optical Engineering, 2013, 8793
Issue Date:: 2013-09-17

Closed Access

	Filename	Description	Size
	87930B.pdf	Published version	687.21 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Hafizi, ZM	en_US
dc.contributor.author	Kahandawa, GC	en_US
dc.contributor.author	Epaarachchi, J	en_US
dc.contributor.author	Lau, KT	en_US
dc.contributor.author	Canning, J https://orcid.org/0000-0001-8281-7783	en_US
dc.contributor.author	Cook, K https://orcid.org/0000-0001-6139-9586	en_US
dc.date.issued	2013-09-17	en_US
dc.identifier.citation	Proceedings of SPIE - The International Society for Optical Engineering, 2013, 8793	en_US
dc.identifier.isbn	9780819496300	en_US
dc.identifier.issn	0277-786X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/119861
dc.description.abstract	During the past decade, many successful studies have evidently shown remarkable capability of Fiber Bragg Gratings (FBG) sensor for dynamic sensing. Most of the research works utilized the 1550 nm wavelength range of FBG sensors. However near infra-red (NIR) FBG sensors can offer the lower cost of Structural health Monitoring (SHM) systems which uses cheaper silicon sources and detectors. Unfortunately, the excessive noise levels that experienced in NIR wavelengths have caused the rejection of sensor that operating in this range of wavelengths for SHM systems. However, with the appropriate use of signal processing tools, these noisy signals can be easily 'cleaned'. Wavelet analysis is one of the powerful signal processing tools nowadays, not only for time-frequency analysis but also for signal denoising. This present study revealed that the NIR FBG range gave good response to impact signals. Furthermore, these 'noisy' signals' response were successfully filtered using one dimensional wavelet analysis. © 2013 SPIE.	en_US
dc.relation.ispartof	Proceedings of SPIE - The International Society for Optical Engineering	en_US
dc.relation.isbasedon	10.1117/12.2026668	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	NIR fibre bragg grating as dynamic sensor: An application of 1D digital wavelet analysis for signal denoising	en_US
dc.type	Conference Proceeding
utslib.citation.volume	8793	en_US
utslib.for	0205 Optical Physics	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US
pubs.volume	8793	en_US

Abstract:

During the past decade, many successful studies have evidently shown remarkable capability of Fiber Bragg Gratings (FBG) sensor for dynamic sensing. Most of the research works utilized the 1550 nm wavelength range of FBG sensors. However near infra-red (NIR) FBG sensors can offer the lower cost of Structural health Monitoring (SHM) systems which uses cheaper silicon sources and detectors. Unfortunately, the excessive noise levels that experienced in NIR wavelengths have caused the rejection of sensor that operating in this range of wavelengths for SHM systems. However, with the appropriate use of signal processing tools, these noisy signals can be easily 'cleaned'. Wavelet analysis is one of the powerful signal processing tools nowadays, not only for time-frequency analysis but also for signal denoising. This present study revealed that the NIR FBG range gave good response to impact signals. Furthermore, these 'noisy' signals' response were successfully filtered using one dimensional wavelet analysis. © 2013 SPIE.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/119861