Structural damage detection using neural network and H∞ filter algorithm

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5394, Issue , 2004, Pages 454-463

  Tang, Hesheng ^a   Sato, Tadanobu ^a  

^a KYOTO UNIVERSITY   (Japan)

Author keywords

Damage detection; H filter; Neural network

Indexed keywords

ALGORITHMS; BACKPROPAGATION; DEGREES OF FREEDOM (MECHANICS); LARGE SCALE SYSTEMS; NEURAL NETWORKS; NONLINEAR SYSTEMS; PARAMETER ESTIMATION; SIGNAL PROCESSING; VELOCITY MEASUREMENT;

COMPUTER MEMORY; DAMAGE DETECTION; LEARNING METHODS; PARAMETRIC MODELS;

STRUCTURAL ANALYSIS;

EID: 5444230046     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.539511     Document Type: Conference Paper

References (14)

1. S.F. Masri, M. Nakamura, A.G. Chassiakos, and T.K. Caughey. "Neural Network Approach to Detection of Changes in Structural Parameters," Journal of Engineering Mechanics-ASCE 122, 4, pp. 350-360, 1996.
2. M. Nakamura, S. F. Masri, and T.K. Caughey. "A Method for Non-Parametric Damage Detection through the use of Neural Networks," Earthquake Engineering & Structural Dynamics 27, 9, pp.997-1010, 1998.
3. S.F. Masri, A.W. Smyth, A.G. Chassiakos, T.K. Caughey, and N.F. Hunter. "Application of Neural Networks for Detection of Changes in Nonlinear Systems," Journal of Engineering Mechanics-ACSE 126, 7, pp. 666-676, 2000.
4. H. M. Chen, G. Z. Qi, J. C. S. Yang, and F. Amini. "Neural Network for Structural Dynamic Model Identification," Journal of Engineering Mechanics-ACSE 121, 12, pp. 1377-1381, 1995.
5. Z. Wu, B. Xu, and K. Yokoyama. "Decentralized Parametric Damage Detection Based on Neural Networks," Computer-Aided Civil and Infrastructure Engineering, 17, pp.175-184, 2002.
6. S. Haykin, Neural Networks: A Comprehensive Foundation, Prentice Hall, Inc. 1999.
7. S. Singhal and L. Wu. "Training multiplayer perceptrons with the extended Kalman algorithm," Advances in Neural Information Processing Systems, Touretzky, Ed., pp.133-140, 1989.
8. Y. Iiguni, H. Sakai, and H. Tokumaru. "A real-time learning algorithm for a multilayered neural network based on the extended Kalman filter," IEEE Trans. Signal Processing, vol. 40, pp. 959-966, 1992.
9. T. Sato, and M. Sato, "Structural identification Using neural Network and Kalman Filter Algorithms," Journal of Structural Mechanics and Earthquake Engineering, JSCE, No. 563/I-39, pp.23-32, 1997.
10. ∞ Theories, SIAM, 1998.
11. ∞ fillter: Its application to structural identification," Journal of Engineering Mechanics (ASCE) 124:1233-1240, 1998.
12. Yi-K. Wen, "Method for Random Vibration of Hysteretic Systems," Journal of Engineering Mechanics Division, Vol.102, No.EM2, pp.249-263, 1976.
13. A.W. Smyth, S. F. Masri, E. B. Kosmatopoulos, A. G. Chassiakos, T. K. Caughey. "Development of adaptive modeling techniques for non-linear hysteretic systems," International Journal of Non-Linear Mechanics, 37, pp.1435-1451, 2002.
14. S.F. Masri, J.P. Caffrey, T.K. Caughey, A.W. Smyth, A.G. Chassiakos. "Identification of the state equation in complex non-linear systems," International Journal of Non-Linear Mechanics, 39, pp.1111-1127, 2004.