Multiresolution classification with semi-supervised learning for indirect bridge structural health monitoring

Siheng Chen, Fernando Cerda, Jia Guo, Joel B. Harley, Qing Shi, Piervincenzo Rizzo, Jacobo Bielak, James H. Garrett, Jelena Kovacevic
2013 2013 IEEE International Conference on Acoustics, Speech and Signal Processing  
We present a multiresolution classification framework with semi-supervised learning for the indirect structural health monitoring of bridges. The monitoring approach envisions a sensing system embedded into a moving vehicle traveling across the bridge of interest to measure the modal characteristics of the bridge. To enhance the reliability of the sensing system, we use a semi-supervised learning algorithm and a semi-supervised weighting algorithm within a multiresolution classification
more » ... ssification framework. We show that the proposed algorithm performs significantly better than supervised multiresolution classification.
doi:10.1109/icassp.2013.6638291 dblp:conf/icassp/ChenCGHSRBGK13 fatcat:zq44lfm5c5bxvp2zp4tr2ml4ze