Identifying the frequencies of practical bridges can help in understanding the bridge dynamic property. However, the vibration amplitude excited by wind load and traffic load is too small, resulting in a small signal noise ratio, which affects the performance of frequency identification. This paper proposes frequency identification procedures for practical bridges to reduce the influence of noise through higher-order spectrum. First, a higher-order spectrum is introduced. Then, the frequency identification procedures are presented for practical bridges. Finally, the proposed procedures are applied to a practical bridge. A higher-order spectrum can eliminate the influence of Gaussian white noise (GWN) or reduce nonstationary random noise during frequency identification. The advantage of using the higher-order spectrum to identify frequencies is verified by simple artificial signals combined with sinusoidal signals with different frequencies and GWN. The results show that the second-order spectrum obtained by the higher-order spectrum has better frequency identification performance than the tradition spectrum and that the frequencies of the practical bridge can be identified successfully.


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    Title :

    Frequency Identification of Practical Bridges through Higher-Order Spectrum


    Contributors:
    Qu, Chun-Xu (author) / Yi, Ting-Hua (author) / Zhou, Yu-Zheng (author) / Li, Hong-Nan (author) / Zhang, Yu-Feng (author)

    Published in:

    Publication date :

    2018-02-21




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown



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