Abstract
This paper presents an innovative technique for structural damage detection that is based on principal component analysis when feedback contro llers 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 pa rameters 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. Keywords : damage identification, uncertainty, feedb ack control, principal component analysis
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