基于Python的平台实测横摇数据时频分析

Time-frequency Domain Analysis of Measured Roll Data Based on Python

本文利用快速傅里叶变换(FFT)方法,将我国某海域平台的实测横摇数据转换为频域数据。本文采用连续三天的横摇运动数据进行频域分析,并考虑了波、流和风在时域的影响。结果表明,风速对波高和波周期有较大影响。随着风速减小,波高减小,波周期也减小。该平台的横摇角度介于-0.015°和0.015°之间。横摇运动的主要频率在0.025~0.035 Hz和0.1~0.135 Hz之间。结合以上内容,风、浪、流对平台的横摇运动影响较大。当风和流的速度以及波浪幅值增大时,平台的横摇运动也随之增大。

In this paper,the FFT is used to convert the time domain data to the frequency domain based on the measured roll data of the platform on a sea area in China.The measurement of roll data for three days are taken for frequency-domain analysis,and the effects of wave,current and wind on time-domain are also considered in this paper.Results show that the wind velocity has a great influence on the wave height and wave period.As the wind speed decreases,the wave height decreases and the wave period also decreases.The roll angle of this platform is between-0.015°and 0.015°.The main frequency of the roll is ranges from 0.025~0.035 Hz and from 0.1~0.135 Hz.Combined with the above contents,wind,wave and current have greater influence on the rolling motion of the platform.When the velocity of wind and current and the amplitude of wave increase,the roll motion of the platform will increase accordingly.