MERGING SENSOR DATA FROM MULTIPLE MEASUREMENT SET-UPS FOR NON-STATIONARY SUBSPACE-BASED MODAL ANALYSIS

摘要: Processing sensor data, from multiple non-simultaneously recorded measurement set-ups, for structural analysis is often achieved by merging identification results obtained records corresponding to different pools. Since pole matching and eigenvector gluing might not be consistent in some cases, the question arises merge data first then process them globally. Subspace algorithms have proven efficient performing output-only modal of mechanical systems subject uncontrolled, unmeasured, non-stationary excitation. The purpose this paper investigate as how subspace-based can adapted handle multi-patch measurements set-up. Numerical results, on both laboratory real application examples, are reported, which show relevance usefulness proposed algorithm.