Online system identification by sparse component analysis based on wavelet transform

Document Type : Research Article

Authors

1 Department of Civil Engineering, Islamic Azad University, Sanandaj, Iran

2 Department of Civil Engineering, University of Kurdistan, Sanandaj, Iran

Abstract

Recently, online identification of structures, only based on the measured outputs during the vibration, has received much attention. One of the most powerful methods of offline system identification is the sparse component analysis (SCA) method which is a subset of blind source identification (BSI) methods. This method by transferring the dynamic responses from time domain to frequency one has led to the sparsity in the data and accordingly the modal parameters of the system are identified. In this research, a Wavelet Transform based Sparse Component Analysis (WT-SCA) method is suggested to identify the system. Then, using WT-SCA and a semi-active tuned mass damper (STMD), an algorithm is presented to achieve a smart structure. The results show that the WT-SCA is able to identify the system momentarily with an acceptable accuracy and also reduce the dynamic responses of a structure equipped with STMD.

Keywords

Main Subjects


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