Structural damage detection by integrating independent component analysis and support vector machine

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3584 LNAI, Issue , 2005, Pages 670-677

  Song, Huazhu ^a   Zhong, Luo ^a   Han, Bo ^b  

^a WUHAN UNIVERSITY OF TECHNOLOGY   (China)

^b TEMPLE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; DATA REDUCTION; SENSORS; SERVICE LIFE; STRUCTURE (COMPOSITION);

SENSOR DATA; STRUCTURAL DAMAGE DETECTION; SUPPORT VECTOR MACHINE;

INDEPENDENT COMPONENT ANALYSIS;

EID: 26944478134     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11527503_79     Document Type: Conference Paper

References (12)

1. Kiremidjian, A.S., Straser, E.G., Law, K.H., Sohn, H., Meng, T., Redlefsen, L., Cruz, R.: Structural Damage Monitoring for Civil Structures. International Workshop on Structural Health Monitoring. Stanford University, Stanford, CA, USA, September (1997) 18-20
2. Zang, C.: MI Friswell, M. Imregun, Structural Damage Detection using Independent Component Analys, Structural Health Monitoring, An Int. J. 3(1), March (2004) 69-84.
3. DeCoste, D., Schölkopf, B.: Training invariant support vector machines. Machine Learning, (2001)
4. Doebling, S.W., Farrar, C.R., Prime, M.B., and Shevitz, D.W.: Damage Identification and Health Monitoring of Structural and Mechanical Systems from Changes in Their Vibration Characteristics: a Literature Review. Los Alamos National Laboratory. The Shock and Vibration Digest, Vol. 30 (2), (1998) 91-105
5. Fritzen, C.-P., Jennewein, D., Kierer, Th.: Damage Detection Based on Model Updating Methd., Mechanical systems and Signal Processin. Vol. 12 (1), January (1998) 163-186
6. http://www.bc.cityu.edu.hk/asce.shm
7. http://wusceel.cive.wustl.edu/asce.shm/benchmarks.htm
8. Song, H., Zhong, L., Moon, F.: Structural Damage Detection by Integrating Independent Component Analysis and Artificial Neural Networks, accepted. Int. Conf. MLMTA 2005
9. Müller, K., Mika, S., Rätsch, G., Tsuda, K., Schölkopf, B.: An Introduction to Kernel-Based Learning Algorithm. IEEE Transactions on Neural Networks, Vol.12 (2) March (2001)
10. Müller, K.-R., Smola, A. J., Rätsch, G., Schölkopf, B., Kohlmorgen, J., Vapnik, V. N.: Predicting time series with support vector machines. Artificial Neural Networks - ICANN'97. ser. Springer Lecture Notes in Computer Science, W. Gerstner, A. Germond, M. Hasler, and J.-D. Nicoud, Eds. Berlin, Germany: Springer-Verlag, vol. 1327 (1997) 999-1004
11. Rytter, A.: Vibration Based Inspection of Civil Engineering Structures, Ph. D. Dissertation. Department of building Technology and Structural Engineering, Aalborg University, Denmark (1993)
12. Masri, S.F., Smyth, A.W., Chassiakos, A.G., Caughey, T.K., Hunter, N.F.: Application of Neural Networks for Detection of Changes in Nonlinear System. J. of Engineering Mechanics, July (2000) 666-676