Extraction and processing of real time strain of embedded FBG sensors using a fixed filter FBG circuit and an artificial neural network

Kahandawa, Gayan C. and Epaarachchi, Jayantha and Wang, Hao and Canning, John and Lau, K. T. (2013) Extraction and processing of real time strain of embedded FBG sensors using a fixed filter FBG circuit and an artificial neural network. Measurement: Journal of the International Measurement Confederation , 46 (10). pp. 4045-4051. ISSN 0263-2241

Abstract

Fibre Bragg Grating (FBG) sensors have been used in the development of structural health monitoring (SHM) and damage detection systems for advanced composite structures over several decades. Unfortunately, to date only a handful of appropriate configurations and algorithms are available for using in SHM systems have been developed. This paper reveals a novel configuration of FBG sensors to acquire strain reading and an integrated statistical approach to analyse data in real time. The proposed configuration has proven its capability to overcome practical constraints and the engineering challenges associated with FBG-based SHM systems. A fixed filter decoding system and an integrated artificial neural network algorithm for extracting strain from embedded FBG sensor were proposed and experimentally proved. Furthermore, the laboratory level experimental data was used to verify the accuracy of the system and it was found that the error levels were less than 0.3% in predictions. The developed SMH system using this technology has been submitted to US patent office and will be available for use of aerospace applications in due course.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2013 Elsevier Ltd. Published version deposited in accordance with the copyright policy of the publisher.
Faculty / Department / School: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Date Deposited: 15 Sep 2013 23:34
Last Modified: 27 Sep 2017 00:20
Uncontrolled Keywords: composite structures; FBG sensors; structural health monitoring
Fields of Research : 09 Engineering > 0905 Civil Engineering > 090506 Structural Engineering
09 Engineering > 0906 Electrical and Electronic Engineering > 090605 Photodetectors, Optical Sensors and Solar Cells
09 Engineering > 0901 Aerospace Engineering > 090102 Aerospace Materials
Socio-Economic Objective: B Economic Development > 87 Construction > 8703 Construction Materials Performance and Processes > 870399 Construction Materials Performance and Processes not elsewhere classified
Identification Number or DOI: 10.1016/j.measurement.2013.07.029
URI: http://eprints.usq.edu.au/id/eprint/24051

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