FIBER BRAGG GRATING SENSORS PROBED BY ARTIFICIAL INTELLIGENCE TO DETECT AND LOCALIZE IMPACTS ON STRUCTURES
Keywords:
optical fiber sensor, fiber Bragg grating, smart sensor, structural integrity, artificial neural networkAbstract
This work proposes a system composed of four optical sensors based on fiber Bragg gratings to monitor a planar structure regarding to external localized impacts. Data processing occurs into two stages in which cascaded multilayer perceptron artificial neural network models supervise the FBGs: one determines the relative distance between the impact and each FBG and the other establishes the Cartesian coordinate. Results show that FBG strain sensors can identify impact location on structures, despite the complexity of the events and without the need for a fast response optical interrogation unit. The sensing system provided the impact location with a mean squared error of 1.11 cm in the test step.
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[18] J. Carvalo, J. Costa, C. S. Sales Junior and C. Francês, “Otimização de redes de Bragg em fibras usando algoritmos
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sensing technology,” Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), pp. 635 – 638,
2011.
[2] G. Tait and R. Rogowski, “Fiber Bragg grating sensors for real-time health monitoring of aerospace vehicles,”
Quantum Electronics and Laser Science Conference, pp. 924–926, 2005.
[3] R. Ivce, I. Jurdana and R. Mohovi, “Vibrations monitoring on board ship with fiber optic sensors,” ELMAR2011
Proceedings, pp. 165 – 168, 2011.
[4] M. Liu, Z. Zhou, Y. Tan, A. Ling and M. Ke, “Fiber Bragg grating sensors based mechanical structure damage
identification,” Mechanika, vol. 18 (1), pp. 108-112, 2012.
[5] J. Frieden, J. Cugnoni, J. Botsis and T. Gmür, “Vibration-based charaterization of impact induced delamination in
composite plates using embedded FBG sensors and numerical modeling,” Composits: Part B, vol. 42, pp. 607-613,
2011.
[6] J. Lee and H. Jeong, “Design of resonant acoustic sensors using fiber Bragg gratings,” Measurement Science and
Technology, vol. 21, pp. 1-6, 2010.
[7] B. M. Cowie, D. J. Webb, B. Tam, P. Slack and P. N. Brett, “Fibre Bragg grating sensors for distributive tactile
sensing,” Measurement Science and Technology, pp. 138–146, 2006.
[8] G. Canepa, J. Oliveira, M. Silva and J. Marino, “Shape from touch by a neural net,” in International Conference on
robotics and Automation, pp. 2075–2080, 1992.
[9] F. Ribeiro, G. R. C. Possetti, J. L. Fabris and M. Muller, “Smart optical fiber sensor for impact localization on planar
structures,” SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference, pp. 1–3, 2013.
[10] F. Ribeiro, “Sensor inteligente em fibra ótica para localização de deformações em estruturas planas,” Master’s thesis,
Universidade Tecnológica Federal do Paraná, 2014.
[11] M. A. Kamizi, G. R. C. Possetti, M. Muller and J. L. Fabris, “Monitoramento ótico de impactos mecânicos
supervisionado por redes neurais artificiais,” Simpósio Brasileiro de Micro-ondas e Optoeletrônica e Congresso
Brasileiro de Eletromagnetismo, pp. 669–673, 2014.
[12] A. Azenha and A. Carvalho, “A Neural Network Approach for AGV Localization Using Trilateration,” Proceedings of
IEEE Industrial Electronics Conference 2009, pp. 2719-2722, 2009.
[13] A. Azenha, L. Peneda and A. Carvalho, “A Neural Network Approach for Radio Frequency Based Indoors
Localization,” IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society, pp. 5990 – 5995, 2012.
[14] S. Haykin, Neural Networks: A Comprehensive Foundation, 2nd ed. New Jersey: Prentice Hall, 1999.
[15] H. Duda and Stork, Pattern Classification, 2nd ed. Wiley Interscience, 2001.
[16] F. Hongchao, Y. Xinhua and H. Jinbao, “Surface testing and parameter identification of vibration,” Third International
Conference on Measuring Technology and Mechatronics Automation, pp. 617–620, 2011.
[17] J. Yi, H. Zhang, X. Qiao and X. Zhu, “Shape monitoring for wing structure using fiber Bragg grating sensors,” Fifth
International Conference on Advanced Computational Intelligence(ICACI), pp. 1032–1036, 2012.
[18] J. Carvalo, J. Costa, C. S. Sales Junior and C. Francês, “Otimização de redes de Bragg em fibras usando algoritmos
genéticos,” Journal of Microwaves and Optoeletronics, vol. 4, pp. 136–151, 2005.
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Published
2015-08-01
How to Cite
Marcos Aleksandro Kamizi, Gustavo Rafael Collere Possetti, Marcia Muller, & José Luís Fabris. (2015). FIBER BRAGG GRATING SENSORS PROBED BY ARTIFICIAL INTELLIGENCE TO DETECT AND LOCALIZE IMPACTS ON STRUCTURES. Journal of Microwaves, Optoelectronics and Electromagnetic Applications (JMOe), 14, SI–25 to SI. Retrieved from http://www.jmoe.org/index.php/jmoe/article/view/487
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