Forecasting of Warp Tension Time Series while Towing a Trawl Net

نویسندگان

  • Kiyoshi AMAGAI
  • Rihei KAWASHIMA
چکیده

Dynamical relation between ship's motions and warp tension while towing a trawl net was identified by the use of statistical method to be the multivariate AR model. Using this system identification method, the various towing system parameters were obtained by analysing the records of measuring ship's motions and warp tension during the fishing operations in several sea conditions. Based on these analyses, using the obtained system models, the future values of the time series were forecasted and the validity of the forecasting of warp tension time series was discussed.

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تاریخ انتشار 2007