Structural damage identification using feedback control with principal component analysis

Jiann-Shiun Lew

doi:10.1117/12.810925

8 April 2009 Structural damage identification using feedback control with principal component analysis

Jiann-Shiun Lew

Proceedings Volume 7295, Health Monitoring of Structural and Biological Systems 2009; 72952G (2009) https://doi.org/10.1117/12.810925
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2009, San Diego, California, United States

Abstract

This paper presents an innovative technique for structural damage detection that is based on principal component analysis when feedback controllers are incorporated into the structure. The use of feedback control can generate additional modal parameters of closed-loop systems and also enhance the sensitivity of modal parameters to structural damage. Principal component analysis (PCA) is used to extract the features of parameter changes due to damage for open-loop and closed-loop systems. The effect of uncertainty, such as measurement noise, on damage identification is studied based on PCA. The objective of this research is to develop methodologies, based on feedback control with PCA, to improve structural damage identification under model uncertainty.

Citation Download Citation

Jiann-Shiun Lew "Structural damage identification using feedback control with principal component analysis", Proc. SPIE 7295, Health Monitoring of Structural and Biological Systems 2009, 72952G (8 April 2009); https://doi.org/10.1117/12.810925

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