Abstract
To further predict textile quality fluctuation from the perspective of uncertainty factors, first, the reasons and regularities of quality fluctuation in the industrial textile processing were analyzed, and knowledge representation of textile quality attributes was studied. Second, through man-machine-environment system engineering (HMESE) theory, the uncertainty factors that affect textile quality were extracted, and its generation mechanism, interaction relationship and behavioral characteristics was explored. Then, an improved man-machine-environment brittle model oriented to the textile processing was built. As verified by the experiment, the results have shown that the improved brittle model has achieved a full range analysis of quality uncertainty of the textile, which are from the reason and regularity of quality fluctuation to generation mechanism, mutual relations, and behavior identification of the uncertainty factors.
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Acknowledgments
The authors gratefully thank the Shaanxi Science and Technology Plan Project (Granted No. 2013KRM07), Textile Industry Association Science and Technology Guidance Plan Project in China (Granted No. 2014076, 2013068, 2011081), and Shaanxi Province Education Department (Granted No. 2013JK0742 and 11JK1055) and Beilin District Applied Technology Research and Development Project By Shaanxi Province in China (Granted No. GX1510).
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Shao, J., Wang, J., Bai, X., Liu, Y., Liu, C., Ma, X. (2015). Study on Prediction Method of Quality Uncertainty in the Textile Processing Based on Data. In: He, X., et al. Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques. IScIDE 2015. Lecture Notes in Computer Science(), vol 9243. Springer, Cham. https://doi.org/10.1007/978-3-319-23862-3_11
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DOI: https://doi.org/10.1007/978-3-319-23862-3_11
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