Separation of Bridge Deflection Signals Based on ICA
In order to reject environmental factor effect from long-span bridge deflection signal, this document introduced the basic theory of independent component analysis (ICA) and applied FastICA algorithm to separate background engineering simulation signal, which was based on using vector-dimension-augmenting technique to process the signal after adopting fir lowpass filter to rejecte the high frequency component, and finally relized the separations of live load deflection, temperature difference deflection and long-term deflection. Campared separation results with deflection source signal, it was shown that the separation result was good when the correlation coefficients between separation signal and source signal were larger than 0.8.
Hui Li, Yan Feng Liu, Ming Guo, Rui Zhang and Jing Du
C. H. Tang et al., "Separation of Bridge Deflection Signals Based on ICA", Advanced Materials Research, Vols. 374-377, pp. 2090-2095, 2012