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Structural state detection using transmissibility and Non- negative Matrix Factorization

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Indexed by:期刊论文

Date of Publication:2015-01-01

Journal:International Journal of Signal Processing, Image Processing and Pattern Recognition

Included Journals:EI

Volume:8

Issue:11

Page Number:309-318

ISSN No.:20054254

Abstract:Transmissibility function (TF) was used in structural state detection which examined the change of the response-only vibration characteristics. The technology of signal correlation was utilized to obtain the TF between two testing points. Multiple TFs under different states were calculated as basic TFs and formed a state matrix. Subsequently, non-negative matrix factorization (NMF) was performed for the state matrix. Then both the basic and testing TFs were projected to the feature subspace derived from NMF so as to obtain the state feature index vectors, respectively. Finally, the Euclidean distance between state feature index vectors was defined as the state indicator. The experimental results indicated that this method can achieve better detection accuracy than that using magnitude indicator. Actually, a result with 100 percent correct detection was achieved when proper rule of dimensionality reduction was selected. This method is essentially a multivariate statistical process monitoring (MSPM) method. It is feasible in vibration- based structural state detection in the situation where the excitation signals are unavailable or inaccessible. © 2015 SERSC.

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