A generic fuzzy metric for damage recognition in structural health monitoring systems

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn 2, Issue , 2005, Pages 1518-1523

  Reda Taha, M M ^a   Lucero, J L ^b  

^a University of New Mexico   (United States)

^b LOS ALAMOS NATIONAL LABORATORY   (United States)

Author keywords

Bayesian updating; Damage metrics; Fuzzy set theory; Structural health monitoring

Indexed keywords

FUZZY CONTROL; FUZZY SETS; PATTERN RECOGNITION;

BAYESIAN UPDATING; DAMAGE METRICS; FUZZY SET THEORY; STRUCTURAL HEALTH MONITORING;

METRIC SYSTEM;

EID: 27944501672     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Kawicki, G., Pena, J. and Guemes, A., 2004. Strain Monitoring using FBG Optical Transducers in a Mechanical Test of An Aeronautical Structure, Proceedings of the Structural Health Monitoring Workshop, Munich, Germany, pp. 500-505.
2. th Annual IEEE Conference on Local Computer Networks (LCN), Tampa, Florida, USA.
3. Melhem, H. and Kim, H. 2003. Damage Detection in Concrete by Fourier and Wavelet Analysis, Journal of Engineering Mechanics, ASCE, Vol. 129, No. 5, pp. 571-577.
4. Sohn, H., Farrar, C. R., Hemez, F. M., Shunk,. D. D., Stinemates, D. W., Nadler, B. R. and Czaenecki, J. J., 2004. A Review of Structural Health Monitoring Literature: 1996-2001. Los Alamos National Laboratory Report, LA-13976-MS.
5. Sohn, H., Czarnecki, J. J. and Farrar, C. R. 2000. Structural Health Monitoring using Statistical Process Control, Journal of Structural Engineering, ASCE, Vol. 126, No. 11, pp. 1356-1363
6. Gutschmidt, S., and Cornwell, P.J. 2001. Statistical Confidence Bounds for Structural Health Monitoring Damage Indicators. In CD Proceedings of the 19th IMAC conference on Structural Dynamics, Kissimmee, FL, USA.
7. Jonker, P. P., Duin, R. P. W., de Ridder, D., Ligteringen, R. and Tax, D. M. J. 1999. Technological Challenges in Defect Detection for Metal Strip: Pattern Recognition Algorithms. Proceedings of the First Sino-European Symposium on Quality Control of High-Grade Steel, Beijing, China, pp. 38-40.
8. Ross, T. J., 2004. Fuzzy Logic with Engineering Applications, 2nd edition, Chichester, John Wiley & Sons, UK.
9. Box, G., and Tiao, G. 1992. Bayesian Inference in Statistical Analysis, John Wiley & Sons.
10. Reda Taha, M. M., A. Noureldin, A. Osman, and El-Sheimy, N. 2004. Introduction to the use of wavelet multiresolution analysis for intelligent structural health monitoring, Canadian Journal of Civil Engineering, Vol. 31, pp. 719-731.
11. Salvino, L. W., Pines, D. J. and Frontner, N. A., 2003. Extracting Instantaneous Phase Features for Structural Health Monitoring, Structural Health Monitoring Workshop, From Diagnostics and Prognostics to Structural Health Management. Stanford, CA, USA Chang, F-K. Ed., pp. 666-674
12. Huyse, L., and Thacker, B. H. 2004. A Probabilistic Treatment of Conflicting Expert Opinion, 45th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Palm Springs, CA, USA.
13. Reda Taha, M. M., Horton, S., Baca, T., 2005. "Damage Identification of A Bridge Model Using Neural Wavelet Module", Unpublished document.