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

Hafizi, Z. M. and Kahandawa, G. C. and Epaarachchi, J. and Lau, K. T. and Canning, J. and Cook, K. (2013) NIR fibre bragg grating as dynamic sensor: an application of 1D digital wavelet analysis for signal denoising. In: 4th International Conference on Smart Materials and Nanotechnology in Engineering (SMN 2013), 10-12 Jul 2013, Gold Coast, Australia.

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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.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: © (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Print copy of the Proceedings held in the USQ Library at call no. 620.5 Fou.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Date Deposited: 24 Jan 2014 05:18
Last Modified: 15 Mar 2018 02:27
Uncontrolled Keywords: composites; NIR FBG sensor; structural health monitoring; wave propagation; wavelet analysis
Fields of Research : 09 Engineering > 0906 Electrical and Electronic Engineering > 090609 Signal Processing
09 Engineering > 0905 Civil Engineering > 090506 Structural Engineering
09 Engineering > 0906 Electrical and Electronic Engineering > 090605 Photodetectors, Optical Sensors and Solar Cells
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
Identification Number or DOI: 10.1117/12.2026668
URI: http://eprints.usq.edu.au/id/eprint/24113

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