Grey GM (0 ,N) prediction model of influence of carding process on yarn strength
The inappropriate speed proportions between licker-in and feed roller, cylinder and licker-in,cylinder and doffer cause damage to fibers in carding process, even influence yarn strength. The correlation degrees between yarn strength and the speed proportions were researched according to grey relational analysis, and GM(0,N) prediction model of yarn strength was also built. The results indicated that the speed proportions were factors affecting yarn strength, whose correlation degrees were respectively 0. 789 5,0. 609 2 and 0. 613 7. GM (0,3) prediction model did not meet the precision requirement because its relative error was more than 5.00％. Relative error of GM (0,3) prediction model was less than 5.00％ by residual error correcting. By means of the probability test of minimum error, the precision of the model was up to Grade II, and it was eligible.
carding processsingle yarn strengthgrey correlation analysisGM (0, N )prediction model
NETL
NSTL
万方数据
维普
