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Estimation of Dynamic Frequency and Time Characteristics in Ship Motions of an Offshore Trawler

机译:海上拖网渔船船舶运动中动态频率和时间特性的估计

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To clarify the process that leads to large-angle inclinations or even the capsizing of fishing boats, it is useful to be able to track dynamic changes in ship motions. These motions during fishing operations are not static, they change from moment tomoment according to the fishing process, and it is important to understand the characteristics of the motions during each fishing operation process. To this end, in this study we focused on conducting a wavelet analysis to simultaneously estimate the time and frequency characteristics of the motions.We conducted a wavelet analysis of motion data obtained from a160GT offshore trawler under standard running conditions and during Danish seine trawling. From the result obtained, we were able to accurately estimate motion characteristics as conditions changed during the fishing process. Periodical changes in motion were observed as a result of the resonance between the ship motions and the waves that were encountered.
机译:为了弄清导致大角度倾斜甚至导致渔船倾覆的过程,能够跟踪船舶运动的动态变化非常有用。捕捞作业中的这些动作不是一成不变的,它们会随着捕捞过程的变化而变化,因此了解每个捕捞作业过程中的动作特性非常重要。为此,在这项研究中,我们着重进行小波分析以同时估计运动的时间和频率特征。我们对在标准运行条件下和丹麦围网拖网期间从a160GT海上拖网渔船获得的运动数据进行了小波分析。根据获得的结果,我们能够准确估算出捕鱼过程中条件变化时的运动特性。由于船舶运动和遇到的波浪之间的共振,观察到运动的周期性变化。

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