DETECTION OF STRUCTURAL FAULTS OF A TWO-STORY BUILDING USING ARTIFICIAL IMMUNE SYSTEM
Keywords:
Detection, Structural Health Monitoring, Artificial Immune SystemAbstract
This work presents the innovative proposal for the development of SHMs with focus on physical cyber systems applied in a two-story building based on Intelligent Computing (CI) techniques, the negative selection algorithm from the Artificial Immune System, to perform the analysis and monitoring of structural integrity in a building
Downloads
Download data is not yet available.
References
Abreu, C. C. E., Chavarette, F. R., Alvarado, F. V., Duarte, M. A. Q., Lima, F. P. A., 2014, Dual-Tree Complex Wavelet Transform Applied to Fault Monitoring and Identification in Aeronautical Structures, International Journal of Pure and Applied Mathematics 97, 89-97. https://doi.org/10.12732/ijpam.v97i1.9
ATALLA, Noureddine e SGARD, Franck. Finite element and boundary methods in
Balageas, D., Fritzen, C.-P., e Guemes, A., 2010. Structural health monitoring, volume 90. John Wiley Sons.
Calich, V. L. G., Vaz, C. A. C., Abrahamsohn, I. d. A., Barbuto, J. A. M., Isaac, L., Rizzo, L. V., Macedo, M. S., Russo, M., Jancar, S., 2001, Imunologia. Livraria e Editora RevinteR Ltda.
de Castro, L. N., 2001. Engenharia imunológica: desenvolvimento e aplicação de ferramentas computacionais inspiradas em sistemas imunológicos artificiais. 2001. Tese (Doutorado) - Faculdade de Engenharia Elétrica e de Computação, Universidade Estadual de Campinas, Campinas.
de Castro, L. N., Timmis, J., 2002. Artificial immune systems: a new computational intelligence approach. New York: Springer, p. 357.
Forrest, S., Perelson, A. S., Allen, L., and herukuri, R. (1994). Self-nonself discrimination in a computer. In Research in Security and Privacy, 1994. Proceedings., 1994 IEEE Computer
Gopalakrishnan, S., Ruzzene, M., Hanagudh, S., 2011, Computational techniques for Structural Health Monitoring, Springer Science Business Media. https://doi.org/10.1007/978-0-85729-284-1
Huxtable, J., Schaefer, D., 2016. On Servitization of the Manufacturing Industry in the UK. Procedia CIRP 52, 46-51. DOI: 10.1016/j.procir.2016.07.042 https://doi.org/10.1016/j.procir.2016.07.042
Kanai, K., 1961, An empirical formula for the spectrum of strong earthquake motions, Bulletin earthquakes research institute, University of Tokyo 39, 85-95
Lima, F. P. A., Chavarette, F.R., Souza, S.S.F., Lopes, M.L.M. 2017. Monitoring and Fault Identification in Aeronautical Structures Using an Wavelet-Artificial Immune System Algorithm. Probabilistic Prognostics and Health Management of Energy Systems. São Paulo: Springer International Publishing AG, Chaim, 1-17. https://doi.org/10.1007/978-3-319-55852-3_13
Magruk, A., 2016. Uncertainty in the Sphere of the Industry 4.0–Potential Areas to Research. Business, Management and Education 14(2), 275-291. https://doi.org/10.3846/bme.2016.332
Snedecor, G. W., Cochram, W. G., 1989, Statistical Methods, 8rd ed. Iowa: Iowa State University Press.
Society Symposium on, pages 202–212. Ieee. https://doi.org/10.1109/RISP.1994.296580
structural acoustics and vibration. CRC Press, 2015.
ATALLA, Noureddine e SGARD, Franck. Finite element and boundary methods in
Balageas, D., Fritzen, C.-P., e Guemes, A., 2010. Structural health monitoring, volume 90. John Wiley Sons.
Calich, V. L. G., Vaz, C. A. C., Abrahamsohn, I. d. A., Barbuto, J. A. M., Isaac, L., Rizzo, L. V., Macedo, M. S., Russo, M., Jancar, S., 2001, Imunologia. Livraria e Editora RevinteR Ltda.
de Castro, L. N., 2001. Engenharia imunológica: desenvolvimento e aplicação de ferramentas computacionais inspiradas em sistemas imunológicos artificiais. 2001. Tese (Doutorado) - Faculdade de Engenharia Elétrica e de Computação, Universidade Estadual de Campinas, Campinas.
de Castro, L. N., Timmis, J., 2002. Artificial immune systems: a new computational intelligence approach. New York: Springer, p. 357.
Forrest, S., Perelson, A. S., Allen, L., and herukuri, R. (1994). Self-nonself discrimination in a computer. In Research in Security and Privacy, 1994. Proceedings., 1994 IEEE Computer
Gopalakrishnan, S., Ruzzene, M., Hanagudh, S., 2011, Computational techniques for Structural Health Monitoring, Springer Science Business Media. https://doi.org/10.1007/978-0-85729-284-1
Huxtable, J., Schaefer, D., 2016. On Servitization of the Manufacturing Industry in the UK. Procedia CIRP 52, 46-51. DOI: 10.1016/j.procir.2016.07.042 https://doi.org/10.1016/j.procir.2016.07.042
Kanai, K., 1961, An empirical formula for the spectrum of strong earthquake motions, Bulletin earthquakes research institute, University of Tokyo 39, 85-95
Lima, F. P. A., Chavarette, F.R., Souza, S.S.F., Lopes, M.L.M. 2017. Monitoring and Fault Identification in Aeronautical Structures Using an Wavelet-Artificial Immune System Algorithm. Probabilistic Prognostics and Health Management of Energy Systems. São Paulo: Springer International Publishing AG, Chaim, 1-17. https://doi.org/10.1007/978-3-319-55852-3_13
Magruk, A., 2016. Uncertainty in the Sphere of the Industry 4.0–Potential Areas to Research. Business, Management and Education 14(2), 275-291. https://doi.org/10.3846/bme.2016.332
Snedecor, G. W., Cochram, W. G., 1989, Statistical Methods, 8rd ed. Iowa: Iowa State University Press.
Society Symposium on, pages 202–212. Ieee. https://doi.org/10.1109/RISP.1994.296580
structural acoustics and vibration. CRC Press, 2015.
Downloads
Published
2019-11-26
Issue
Section
Artigos Originais
How to Cite
DETECTION OF STRUCTURAL FAULTS OF A TWO-STORY BUILDING USING ARTIFICIAL IMMUNE SYSTEM. (2019). Colloquium Exactarum. ISSN: 2178-8332, 11(4), 73-84. https://revistas.unoeste.br/index.php/ce/article/view/3278