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基于GPS-RTK技术的波浪能发电装置结构动态位移监测及滤波方法
引用本文:郭欣然,陶涛,杨毅,刘石.基于GPS-RTK技术的波浪能发电装置结构动态位移监测及滤波方法[J].海洋技术,2023(4):51-59.
作者姓名:郭欣然  陶涛  杨毅  刘石
作者单位:南方电网电力科技股份有限公司
基金项目:国家重点研发计划资助项目(2019YFB1504400);南方电网电力科技股份有限公司预研性研发项目(NYJS2020KJ005-23)
摘    要:利用全球定位系统实时差分技术(Global Positioning System Real-Time Kinematic,GPS-RTK)对波浪能发电装置进行结构变形监测得到的信号会存在噪声。针对这个问题,本文提出一种结合巴特沃斯(Butterworth)滤波器和自相关函数经验模态分解(Empirical Mode Decomposition,EMD)的滤波降噪算法,利用动态位移仿真信号进行了实验验证。结果表明:该滤波算法能够有效降低装置动态位移监测数据中噪声的影响,利用滤波算法对仿真信号进行降噪处理之后,可以提取出信号中包含的结构固有频率。

关 键 词:波浪能发电装置  动态位移监测  降噪滤波

The Structural Dynamic Displacement Monitoring and Filtering Method of Wave Power Generation Device Based on GPS-RTK
Abstract:There will be noise in the signal of structural deformation monitoring of wave power generation device by using GPS-RTK. In order to solve this problem, a filter denoising algorithm combining Butterworth and EMD based on autocorrelation function is proposed. The idea of the algorithm is described and verified by the dynamic displacement simulation signal. The results show that the proposed filtering algorithm can effectively reduce the influence of noise in the dynamic displacement monitoring data of the device. After the simulation signal is de-noised by the proposed algorithm, the natural frequency of structural vibration response contained in the signal can be extracted from it.
Keywords:wave power generation device  dynamic displacement monitoring  noise reduction filtering
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