Dynamic response prediction method of towing system based on LightGBM
In view of the shortcomings of traditional numerical simulation calculation methods,such as time-consum-ing and occupying more computer resources,a regression prediction model for evaluating the dynamic response of the tow-ing system based on LightGBM algorithm is proposed.The data obtained from the existing OrcaFlex numerical simulation are taken as samples,and the marine environmental conditions on the towing system,the speed of the tugboat and the length of the cable are taken as characteristics.Aiming at the dynamic response,the LightGBM algorithm is introduced to predict and analyze the dynamic response such as the maximum tension at the top of the towing cable.Compared with traditional numer-ical simulation methods,LightGBM algorithm can ensure the accuracy of results and greatly improve the computational effi-ciency.Meanwhile,compared with Random Forest(RF)and limit gradient Boosting(XGBoost)algorithm,its accuracy and computational efficiency are better.Finally,LightGBM algorithm with Bayesian parameter optimization is proposed,which further improves the accuracy,provides an efficient technical approach for taking measures to ensure the safety of the tow-ing system in advance,and provides a strong technical support for the establishment of the digital twin of the towing system.
system of towingBayesian optimizationLightGBMdynamic response
万方数据
维普
