Wavelet based multi-step filtering method for bridge healthmonitoring using GPS and accelerometer

摘要: Effective monitoring, reliable data analysis, and rational interpretations are challenges for engineers who specialized in bridge health monitoring. This paper demonstrates how to use the Global Positioning System (GPS) accelerometer accurately extract static quasi-static displacements of induced by ambient effects. To eliminate disadvantages two separate units, based on characteristics bias terms derived from GPS respectively, a wavelet multi-step filtering method combining merits continuous transform (CWT) with the discrete stationary (SWT) is proposed so as address deformation monitoring application more efficiently. The field measurements carried out an existing suspension under normal operation without any traffic interference. Experimental results showed that frequencies absolute can be accurate extracted method. integration used tool characterize dynamic behavior large structures such bridges undergoing environmental loads.