NIR fibre bragg grating as dynamic sensor: an application of 1D digital wavelet analysis for signal denoising
Paper
Paper/Presentation Title | NIR fibre bragg grating as dynamic sensor: an application of 1D digital wavelet analysis for signal denoising |
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Presentation Type | Paper |
Authors | Hafizi, Z. M. (Author), Kahandawa, G. C. (Author), Epaarachchi, J. (Author), Lau, K. T. (Author), Canning, J. (Author) and Cook, K. (Author) |
Editors | Epaarachchi, Jayantha A. , Lau, Alan Kin-tak and Leng, Jinsong |
Journal or Proceedings Title | Proceedings of the 4th International Conference on Smart Materials and Nanotechnology in Engineering (SMN 2013) |
ERA Conference ID | 60496 |
Journal Citation | 8793, pp. 1-8 |
Number of Pages | 8 |
Year | 2013 |
Place of Publication | Bellingham, WA. United States |
ISBN | 9780819496300 |
Digital Object Identifier (DOI) | https://doi.org/10.1117/12.2026668 |
Conference/Event | 4th International Conference on Smart Materials and Nanotechnology in Engineering (SMN 2013) |
International Conference on Smart Materials and Nanotechnology in Engineering | |
Event Details | 4th International Conference on Smart Materials and Nanotechnology in Engineering (SMN 2013) Event Date 10 to end of 12 Jul 2013 Event Location Gold Coast, Australia |
Event Details | International Conference on Smart Materials and Nanotechnology in Engineering |
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. |
Keywords | composites; NIR FBG sensor; structural health monitoring; wave propagation; wavelet analysis |
ANZSRC Field of Research 2020 | 400607. Signal processing |
400510. Structural engineering | |
400999. Electronics, sensors and digital hardware not elsewhere classified | |
Public Notes | © (2013) Society of Photo-Optical Instrumentation Engineers (SPIE) |
Byline Affiliations | Centre of Excellence in Engineered Fibre Composites |
University of Sydney | |
Harbin Institute of Technology, China | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q2165/nir-fibre-bragg-grating-as-dynamic-sensor-an-application-of-1d-digital-wavelet-analysis-for-signal-denoising
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