2021
DOI: 10.1016/j.apor.2021.102844
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Dynamic monitoring of an offshore jacket platform based on RTK-GNSS measurement by CF-CEEMDAN method

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Cited by 13 publications
(5 citation statements)
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“…This paper mainly introduces the widely used methods in time domain modal parameter identification methods, such as ITD (Ibrahim Time Domain) method, Eigensystem Realization Algorithm (ERA), Time Series (ARMA) method, Frontiers in Ocean Engineering 47 complex exponential method, etc. [15][16] .…”
Section: Classification Of Modal Parameter Identification Methods In ...mentioning
confidence: 99%
“…This paper mainly introduces the widely used methods in time domain modal parameter identification methods, such as ITD (Ibrahim Time Domain) method, Eigensystem Realization Algorithm (ERA), Time Series (ARMA) method, Frontiers in Ocean Engineering 47 complex exponential method, etc. [15][16] .…”
Section: Classification Of Modal Parameter Identification Methods In ...mentioning
confidence: 99%
“…[3][4][5][6] As of the 2010s, the applications of GNSS in SHM are primarily limited to kinematic positioning for short-term monitoring (a few hours to days), studying the dynamic behaviors of structures (e.g., long-span bridges, high-rise buildings). [7][8][9][10][11][12][13] Static GNSS techniques have been widely applied in long-term geological hazards monitoring (e.g., volcanos, faulting, landslides, subsidence) during the past two decades. In contrast, GNSS techniques have rarely been used for long-term offshore SHM.…”
Section: Motivationmentioning
confidence: 99%
“…First, map the GNSS satellite positioning reference ellipsoid (longitude and latitude coordinates) to the Shanghai urban construction coordinates, and then map the Shanghai urban construction coordinates to the local coordinate system of the 3D virtual scene. Through this scheme, the mobile machine can be simulated in real time in the road or field of the three-dimensional scene [16]. The 3D virtual scene is made based on the CAD drawings that have been surveyed and mapped.…”
Section: Coordinate Transformation Mappingmentioning
confidence: 99%