This work applies system identification techniques to analyze the measured data from structural monitoring system and field test for Kao Ping Hsi cable‐stayed bridge in Taiwan. The continuous wavelet transform algorithm can be used to identify the dynamic characteristics of the cable‐stayed bridge under environmental vibration. The identified results with traffic flow were compared with those obtained from ambient vibration test. The excellent agreement both the identified results from different traffic conditions indicates that the traffic flow would not significantly change the natural frequencies of the cable‐stayed bridge. The modal parameters identified from the field vibration test will be compared with those used in the finite element analysis. The results obtained herein will be used as the damage detection for monitoring the long‐term safety of the Kao Ping Hsi cable‐stayed bridge by using structural monitoring system.

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