With the increasing number of long span bridges, real-time, accurate and continuous monitoring of their safety is important at present. This study investigates the combination of a global navigation satellite system (GNSS) and accelerometer for monitoring dynamic and semi-static characteristics of bridge structures. A field experiment was conducted with the integration of a GNSS and accelerometer. Considering the noise interference of GNSS monitoring, performance tests were first conducted in different environments to investigate the noise characteristics. Next, complete ensemble empirical mode decomposition with adaptive noise-wavelet packet (CEEMDAN-WP) algorithm was chosen for denoising, among which a double criterion based on the correlation coefficient and effective coefficient was proposed to sift the intrinsic mode functions. After the noise reduction process, structural dynamic displacements and modal frequencies were successfully extracted from the 50 Hz GNSS real-time ...

中文翻译：

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结合GNSS和加速度计测量来评估桥梁结构的动态和半静态特性

随着大跨度桥梁数量的增加，目前，对其安全性进行实时，准确和连续的监控非常重要。这项研究调查了全球导航卫星系统（GNSS）和加速度计的组合，以监测桥梁结构的动态和半静态特性。结合GNSS和加速度计进行了现场试验。考虑到GNSS监视的噪声干扰，首先在不同的环境中进行了性能测试以调查噪声特性。然后，采用自适应噪声小波包（CEEMDAN-WP）算法对整体经验模态分解进行去噪，提出了一种基于相关系数和有效系数的双重准则来筛选固有模态函数。