Application options of data fitting methods in weaving process based on Empirical Mode Decomposition

To improve the quality of textile weaving process and guarantee the continuity of the entire manufacturing process,first,the application of the existing monitoring system was analyzed.Then,for the system deficiencies in data fitting and processing,and abnormal cases warning,the uncertainty factors in the manufacturing process were studied,and the software filtering algorithms in use for the system were analyzed.Furthermore,through using Empirical Mode Decomposition(EMD),denoising experiments on weaving process data were compared,and the fitting results were simulated.Practice has proved that EMD-based method can effectively ensure the accuracy of production data,improve the quality of textiles,and guarantee the continuity of the entire manufacturing process.