Abstract

As the measured data are inevitably contaminated by noise, accurately estimating modal parameters of a structure has been a difficult task. This article proposes a modal parameter estimation approach based on noise removal from measured data. In order to remove noise, a structured low rank approximation method for the Hankel matrix must be carried out. Experimental studies based on a steel model of jacket type offshore platform were performed. We conclude that the proposed approach is very accurate on estimating the modal parameters.

Keywords:
rank approximation, upstream oil & gas, platform, model order, excitation, singular value, offshore platform, low rank approximation, irf, artificial intelligence
Subjects:
Offshore Facilities and Subsea Systems, Information Management and Systems
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2014. International Society of Offshore and Polar Engineers
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