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Examples of Output-only Modal Identification Using Compressive Sensing Techniques

A. ZEBADUA, P.-O. AMBLARD, E. MOISAN, O. MICHEL, M. CARMONA, A. PALEOLOGUE, M. BILLERÈS

Abstract


In this paper, we make use of compressive sensing-based techniques in the context of output-only modal identification. Two power spectral density estimators are defined and applied to real-data experiments, finally their performances are illustrated. Our methods do not require high energy-consumer optimization algorithms, signals are converted into a very simple, and easy-to-process representation (compressed and highly quantized) which preserves information, reconstruction is therefore unnecessary. These savings are relevant for modal identification with wireless sensor networks, which have high power consumption and lifetime (autonomy) con- straints.

doi: 10.12783/SHM2015/162


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