DAMAGE DETECTION USING LEAST-SQUARES SINGULAR VALUE DECOMPOSITION METHOD AND ITS SENSITIVITY TO EXPERIMENTAL DATA

A singular value decomposition algorithm, SVD, is applied to frequency response function matrix to identify damage. A composite beam is used to generate vibration data for a healthy and damaged database. The method employed was named robust singular value decomposition as this procedure uses robust statistics to avoid outlier data, so the analysis can be done in a set of healthy and damaged data. Remarks are made on efficiency of the detection algorithm for different damage levels, and measurement techniques.