Production Prediction of Cutter Suction Dredger in Consideration of Time Delay
CHEN Xiujing
NI Fusheng
WEI Changyun
YANG Jinbao
Abstract：The prediction model of BP neural network with time delay is proposed in order to improve the prediction accuracy of cutter suction dredger(CSD). The problem of time delay and lag between slurry density and the degree of vacuum is intensively an?alyzed. The proposed model is built on the basis of the input factors of BP neural network model,i.e.,the current of the cutter head, the velocity of pipeline transportation,the degree of vacuum and the swing speed,and the output factor,i.e.,slurry density. The re?sults show that the method can well predict the dredger production and can be used to predict and evaluate the actual production of a CSD.
Keywords：dredgecutter suction dredgertime delayBP neural networkproduction prediction
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 296-299 )