392
Views
6
CrossRef citations to date
0
Altmetric
Original Articles

Distributed network-based structural health monitoring expert system

ORCID Icon, ORCID Icon, ORCID Icon, , ORCID Icon &
Pages 144-159 | Received 08 May 2020, Accepted 16 Nov 2020, Published online: 14 Dec 2020

References

  • Abdelgawad, A., & Yelamarthi, K. (2016, October 16-19). Structural health monitoring: Internet of things application. 2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS) (pp. 1–4). Abu Dhabi. doi:10.1109/MWSCAS.2016.7870118.
  • Adewale, A. L., Jumoke, A. F., Adegboye, M., & Ismail, A. (2018). An embedded fuzzy logic based application for density traffic control system. International Journal of Artificial Intelligence Research, 2(1), 7–16. doi:10.29099/ijair.v2i1.44
  • Angeli, C. (2010). Diagnostic expert systems: From expert’s knowledge to real-time systems. Advanced Knowledge Based Systems: Model, Applications & Research, 1, 50–73.
  • Anthony, N. E., Ben, U. N., & Gideon, O. B. (2015). Vibration-Based structural health Monitoing: Theoretical Foundation and experimental validation on reinforced concrete beams. The International Journal of Engineering and Science, 22(2), 1–12.
  • Ashwear, N., & Eriksson, A. (2017). Vibration health monitoring for tensegrity structures. Mechanical Systems and Signal Processing, 85, 625–637. doi:10.1016/j.ymssp.2016.08.039
  • Badejo, E. (2009, 13th July). Engineers; Others Urge Multi-Disciplinary Approach to curb Building Collapse. The Guardian Newspaper, 15–17.
  • Bremer, K., Wollweber, M., Weigand, F., Rahlves, M., Kuhne, M., Helbig, R., & Roth, B. (2016). Fibre optic sensors for the structural health monitoring of building structures. Procedia Technology, 26, 524–529, doi:10.1016/j.protcy.2016.08.065
  • Cataldo, A., De Benedetto, E., Cannazza, G., Monti, G., & Piuzzi, E. (2017). TDR-based monitoring of rising damp through the embedding of wire-like sensing elements in building structures. Measurement, 98, 355–360. doi:10.1016/j.measurement.2016.10.044
  • Chanv, B., Bakhru, S., & Mehta, V. (2017). Structural health monitoring system using IOT and wireless technologies. 2017 International Conference on Intelligent Communication and Computational Techniques (ICCT), Proceedings of a meeting held 22-23 December 2017, Jaipur, India pp. 151–157, doi:10.1109/INTELCCT.2017.8324036
  • Chen, B., & Zang, C. (2011). A hybrid immune model for unsupervised structural damage pattern recognition. Expert Systems with Applications, 38(3), 1650–1658. doi:10.1016/j.eswa.2010.07.087
  • CONSTRUCT. (2010). National structural concrete specification for building construction. Fourth edtion complying with BS EN 13670:2009. A cement and concrete indutry publication.
  • Czabanski, R., Jezewski, M., & Leski J. (2017). Introduction to fuzzy systems. In P. Prokopowicz, J. Czerniak, D. Mikołajewski, L. Apiecionek, & D. Śle¸zak (Eds.), Theory and applications of ordered fuzzy numbers. Studies in fuzziness and soft computing. Springer. doi:10.1007/978-3-319-59614-3_2
  • De Oliveira, M. A., Araujo, N. V., Inman, D. J., & Vieira Filho, J. (2018). Kappa-PSO-FAN based method for damage identification on composite structural health monitoring. Expert Systems with Applications, 95, 1–13. doi:10.1016/j.eswa.2017.11.022
  • Dyke, S. J., Bernal, D., Beck, J., & Ventura, C. (2003). Experimental phase II of the structural health monitoring benchmark problem. Proceedings of the16th ASCE Engineering Mechanics Conference July 16–18, 2003. University of Washington, Seattle, USA.
  • Khurana, H. (1991). Fuzzy logic control—A Tutorial. IETE Technical Review, 8(5), 280–288. doi:10.1080/02564602.1991.11438775
  • Li, X., Yu, W., & Villegas, S. (2015). Structural health monitoring of building structures with online data mining methods. IEEE Systems Journal, 10(3), 1291–1300. doi:10.1109/JSYST.2015.2481380
  • Lorenzoni, F., Casarin, F., Caldon, M., Islami, K., & Modena, C. (2016). Uncertainty quantification in structural health monitoring: Applications on cultural heritage buildings. Mechanical Systems and Signal Processing, 66, 268–281. doi:10.1016/j.ymssp.2015.04.032
  • Lynch, J. P., Law, K. H., Kiremidjian, A. S., Kenny, T. W., Carryer, E., & Partridge, A. (2001). The design of a wireless sensing unit for structural health monitoring. (Ed.),^(Eds.). Proceedings of the 3rd international workshop on structural health monitoring.
  • Mahmud, M. A., Bates, K., Wood, T., Abdelgawad, A., & Yelamarthi, K. (2018). A complete internet of things (IoT) platform for structural health monitoring (shm). (Ed.),^(Eds.). 2018 IEEE 4th World Forum on Internet of Things (WF-IoT).
  • Mashukova, M. H. (2017). Improvement of the monitoring system of the technical condition of buildings. (Ed.),^(Eds.). 2017 International Conference” Quality Management, Transport and Information Security, Information Technologies"(IT&QM&IS).
  • Mashukova, M. H. (2018). Automated monitoring system for the technical condition of buildings. 2018 IEEE International Conference “Quality Management, Transport and Information Security, Information Technologies” (IT&QM&IS), St. Petersburg, September 24–28, pp. 245–247. doi:10.1109/ITMQIS.2018.8525116
  • Paul, P., Dutta, N., Biswas, B. A., Das, M., Biswas, S., Khalid, Z., & Saha, H. N. (2018). An internet of things (IoT) based system to analyze real-time collapsing probability of structures. 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), Vancouver, BC, November 1–3, pp. 1070–1075. doi:10.1109/IEMCON.2018.8614743.
  • Pawar, P. M., & Ganguli, R. (2011). Structural health monitoring using genetic fuzzy systems. Springer Science & Business Media.
  • Salehi, H., Das, S., Biswas, S., & Burgueño, R. (2019). Data mining methodology employing artificial intelligence and a probabilistic approach for energy-efficient structural health monitoring with noisy and delayed signals. Expert Systems with Applications, 135, 259–272. doi:10.1016/j.eswa.2019.05.051
  • Sawyer, J. P., & Rao, S. (2000). Structural damage detection and identification using fuzzy logic. AIAA Journal, 38(12), 2328–2335. doi:10.2514/2.902
  • Sugeno, M. (1985). An introductory survey of fuzzy control. Information Sciences, 36(1-2), 59–83. doi:10.1016/0020-0255(85)90026-X
  • Tariq, H., Al-Hitmi, M. A. E., Tahir, A., Crescini, D., Touati, F., & Manouer, A. B. (2018). Structural Health Monitoring Installation Scheme using Utility Computing Model. (Ed.),^(Eds.). 2018 2nd European Conference on Electrical Engineering and Computer Science (EECS).
  • Wang, J., Cao, J., Ji, S., & Park, J. H. (2017). Energy-efficient cluster-based dynamic routes adjustment approach for wireless sensor networks with mobile sinks. The Journal of Supercomputing, 73(7), 3277–3290. doi:10.1007/s11227-016-1947-9
  • Wang, J., Gao, Y., Liu, W., Sangaiah, A. K., & Kim, H.-J. (2019). An intelligent data gathering schema with data fusion supported for mobile sink in wireless sensor networks. International Journal of Distributed Sensor Networks. 15(3), 1–9. doi:10.1177/1550147719839581
  • Wang, J., Zhang, Z., Li, B., Lee, S., & Sherratt, R. S. (2014). An enhanced fall detection system for elderly person monitoring using consumer home networks. IEEE Transactions on Consumer Electronics, 60(1), 23–29. doi:10.1109/TCE.2014.6780921
  • Zhang, W., Xiong, N., Yang, L. T., Jia, G., & Zhang, J. (2012). BCHED-energy balanced sub-round local topology management for wireless sensor network. 網際網路技術學刊, 13(3), 385–394. doi:10.6138%2fJIT.2012.13.3.02

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.