A New Quality Control Method for Cotton Spinning

To solve the cotton yarn quality characteristic value fluctuation, we proposed a quality control method based on data-driven in the cotton spinning, and analyzed the uncertainty factors that affects quality characteristic values. For this method, we firstly studied the reasons and regularities of the spinning quality fluctuation in the spinning process, and made the knowledge association among yarn attributes be expressed. Second, through human-man-system engineering theory, all uncertainty factors were partitioned into six categories. Then, a multi-process hierarchy quality control model oriented to the cotton spinning was built and a new multi-objective evolutionary algorithm was proposed. As verified by the experiment and simulation, the results have shown that the quality control can achieve a full range analysis of quality control uncertainty for cotton spinning, which are from the reason and regularity of quality fluctuation to generation mechanism, mutual relations, and behavior identification of the uncertainty factors.