Steady-state characteristics prediction of marine towing cable with BPNN

Abstract

ABSTRACT Marine towing cable serves an important bridge of power and signal transmission between the ship and towed body in the towed seismic cable system. The steady-state equilibrium configuration and natural frequency of towing cable which are valuable for preliminary design will change with different working requirements. In this paper, the steady-state characteristics of marine towing cable are investigated with different towing parameters. Cable length and towing speed have a greater effect on the configuration than other parameters, and the impact of cable weight and cable length is more obvious for the natural frequency. Based on plenty of numerical results, a proper neural network using back-propagation neural network (BPNN) to predict the configuration and natural frequency is introduced and validated. Finally, an approximate equation including the weights and biases of BPNN, which can reduce the calculation cost greatly compared with traditional method, is suggested to obtain the steady-state characteristics of marine towing cable rapidly and accurately.