Structural damage detection using neural network and H(infinity symbol) filter algorithm

Hesheng Tang; Tadanobu Sato

doi:10.1117/12.539511

21 July 2004 Structural damage detection using neural network and H_∞ filter algorithm

Hesheng Tang, Tadanobu Sato

Proceedings Volume 5394, Health Monitoring and Smart Nondestructive Evaluation of Structural and Biological Systems III; (2004) https://doi.org/10.1117/12.539511
Event: NDE for Health Monitoring and Diagnostics, 2004, San Diego, CA, United States

Abstract

In this paper we propose a neural network-based approach for damage detection of unknown structure systems. Newly developed global H_∞ Filter optimal learning algorithm for the neural network to simulate a structural response is developed. This algorithm is based on the worst-case disturbances design criterion, and is therefore robust with respect to model uncertainties and lack of statistical information to the exogenous signals. Simulation results are presented to identify dynamic response characteristics of nonlinear structural systems corresponding to different degrees of parameters changes, which indicate that damage occurred in the structure. It is shown that the proposed method is highly robust and more appropriate in practical early structural damage detection.

Citation Download Citation

Hesheng Tang and Tadanobu Sato "Structural damage detection using neural network and H_∞ filter algorithm", Proc. SPIE 5394, Health Monitoring and Smart Nondestructive Evaluation of Structural and Biological Systems III, (21 July 2004); https://doi.org/10.1117/12.539511

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