Damage Detection using Successive Parameter Subset Selections and Multiple Modal Residuals

B Titurus (University of Bristol) & MI Friswell (Swansea University)

Mechanical Systems and Signal Processing, Vol. 45, March 2014, pp. 193-206


The use of modal response residuals and parameterized models forms the framework for parameter subset selection based damage detection. This research explores the novel approach in this class of methods which is characterized by the successive application of the homogeneous modal response residuals. The motivation behind this approach is to restrict the use of unknown weighting factors which are employed in cases with mixed response residuals. Particular attention is given to the parameter-effect symmetry issues and large nonlinear changes in response residuals due to increasing damage observed across multiple damage levels. A case study involving real aluminium three-dimensional frame structure with a loose joint connection is used to demonstrate the approach and its ability to localize the damaged area.

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This material has been published in the Mechanical Systems and Signal Processing, Vol. 45, March 2014, pp. 193-206, the only definitive repository of the content that has been certified and accepted after peer review. Copyright and all rights therein are retained by Elsevier.

Link to paper using doi: 10.1016/j.ymssp.2013.06.022

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