Paper
9 August 2013 NIR fibre Bragg grating as dynamic sensor: an application of 1D digital wavelet analysis for signal denoising
Z. M. Hafizi, G. C. Kahandawa, J. Epaarachchi, K. T. Lau, J. Canning, K. Cook
Author Affiliations +
Proceedings Volume 8793, Fourth International Conference on Smart Materials and Nanotechnology in Engineering; 87930B (2013) https://doi.org/10.1117/12.2026668
Event: Fourth International Conference on Smart Materials and Nanotechnology in Engineering, 2013, Gold Coast, Australia
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) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Z. M. Hafizi, G. C. Kahandawa, J. Epaarachchi, K. T. Lau, J. Canning, and K. Cook "NIR fibre Bragg grating as dynamic sensor: an application of 1D digital wavelet analysis for signal denoising", Proc. SPIE 8793, Fourth International Conference on Smart Materials and Nanotechnology in Engineering, 87930B (9 August 2013); https://doi.org/10.1117/12.2026668
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Cited by 2 scholarly publications.
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KEYWORDS
Fiber Bragg gratings

Sensors

Wavelets

Near infrared

Denoising

Structural health monitoring

Composites

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