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논문 상세정보


This study introduces a novel approach for locating damage in a structure using wireless sensor system with local level computational capability to alleviate data traffic load on the centralized computation. Smart wireless sensor systems, capable of iterative damage-searching, mimic an optimization process in a decentralized way. The proposed algorithm tries to detect damage in a structure by monitoring abnormal increases in strain measurements from a group of wireless sensors. Initially, this clustering technique provides a reasonably effective sensor placement within a structure. Sensor clustering also assigns a certain number of master sensors in each cluster so that they can constantly monitor the structural health of a structure. By adopting a voting system, a group of wireless sensors iteratively forages for a damage location as they can be activated as needed. Since all of the damage searching process occurs within a small group of wireless sensors, no global control or data traffic to a central system is required. Numerical simulation demonstrates that the newly developed searching algorithm implemented on wireless sensors successfully localizes stiffness damage in a plate through the local level reconfigurable function of smart sensors.

참고문헌 (21)

  1. Akyildiz, I. F., Su, W., Sankarasubramaniam, Y. and Cayirci, E. (2002), "Wireless sensor networks: a survey", Computer Networks, 38, 392-422. 
  2. Back, T. (1996), Evolution Algorithms in Theory and Practice, Oxford University Press, New York. 
  3. Caffrey, J., Govindan, R., Johnson, E. A., Krishnamachari, B., Masri, S., Sukhatme, G., Chintalapudi, K. K., Dantu, K., Rangwala, S., Sridharan, A., Xu, N. and Zuniga, M. (2004), "Networked sensing for structural health monitoring", Proceedings of the 4th International Workshop on Structural Control, Columbia University, NY. 
  4. Cawley, P. and Adams, R. D. (1979), "The localization of defects in structures from measurements of natural frequencies", J. Strain Analysis, 14, 49-57. 
  5. Clayton, E. H., Koh, B. H., Xing, G., Fok, L., Dyke, S. J. and Lu, C. (2005), "Damage detection and correlation-based localisation using wireless sensor mote sensors", Proceedings of the 13th Mediterranean Conference on Control and Automation. 
  6. Glaser, S. D. (2004), "Some real-world applications of wireless sensor nodes", SPIE Symposium on Smart Structures & Materials: NDE 2004, San Diego, CA, March 14-18. 
  7. Goldberg, D. E. (1989), Genetic Algorithms in Search Optimization and Machine Learning, Addison-Wesley, Reading, MA. 
  8. Hoppner, F., Klawonn, F., Kruse, R. and Runkler, T. (1999), Fuzzy cluster analysis, John Wiley & Sons Ltd, West Sussex, England. 
  9. Jain, A. K. and Dubes, R. C. (1989), Algorithms for Clustering Data, Prentice-Hall, Englewood Cliffs, New Jersey. 
  10. Kling, R., Adler, R., Huang, J., Hummel, V. and Nachman, L. (2005), "Intel mote-based sensor networks", Struct. Control Health Monit., 12(3-4), 469-479. 
  11. Koh, B. H. and Dyke, S. J. (2007), "Structural health monitoring for flexible bridge structures using correlation and sensitivity of modal data", Comput. Struct., 85(3-4), 117-130. 
  12. Kottapalli, V. A., Kiremidjian, A. S., Lynch, J. P., Carryer, E., Kenny, T. W., Law, K. H. and Lei, Y. (2003), "Two-tiered wireless sensor network architecture for structural health monitoring", SPIE's 10th Annual International Symposium on Smart Structures & Materials, San Diego, CA, March 2-6. 
  13. Lynch, J. P. (2004), "Overview of wireless sensors for real-time health monitoring of civil structures", Proceedings of the 4th International Workshop on Structural Control, pp. 189-194, Columbia University, NY. 
  14. Lynch, J. P., Wang, Y., Sundararjan, A., Law, K. H. and Kiremidjian, A. S. (2004), "Wireless sensing for structural health monitoring of civil structures", Proceedings of International Workshop on Integrated Life-Cycle Management of Infrastructures, Hong Kong, December 9-11. 
  15. Mahfuz, M. U. and Ahmed, K. M. (2005), "A review of micro-nano scale wireless sensor networks for environmental protection: Prospects and challenges", Science and Technology of Advanced Materials, 6, 302-306. 
  16. Mirkin, B. (1996), Mathematical Classification and Clustering, Kluwer Academic Publishers, New York. 
  17. Pakzad, S. N. and Fenves, G. L. (2004), "Structural health monitoring applications using MEMS sensor networks", Proceedings of the 4th International Workshop on Structural Control, pp. 47-56, Columbia University, NY. 
  18. Schutz, M. and Schwefel, H. P. (2000), "Evolutionary approaches to solve three challenging engineering tasks", Comput. Methods Appl. Mech. Eng., 186, 141-170. 
  19. Xu, N., Rangwala, S., Chintalapudi, K. K., Ganesan, D., Broad, A. and Estrin, D. (2004), "A wireless sensor network for structural health monitoring", Proceedings of the 2nd ACM Conference on Embedded Networked Sensor Systems (SenSys'04). 
  20. Yuan, S., Lai, X., Zhao, X., Xu, X. and Zhang, L. (2006), "Distributed structural health monitoring system based on smart wireless sensor and multi-agent technology", Smart Mater. Struct., 15, 1-8. 
  21. Zhao, F. and Guibas, L. (2004), Wireless Sensor Networks: An Information Processing Approach, Morgan Kaufmann. 

이 논문을 인용한 문헌 (3)

  1. 2010. "" International journal of precision engineering and manufacturing, 11(1): 23~29 
  2. 2010. "" Smart structures and systems, 6(5): 461~480 
  3. 2010. "" Smart structures and systems, 6(5): 561~578 


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