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| Study on Quality Uncertainty Prediction Model Based on Data and Its Application Management |
| Xiao Cao, Jingfeng Shao |
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Abstract To predict textile quality fluctuation from the perspective of
uncertainty factors, first, the reasons and patterns of quality
fluctuation in the industrial textile processing were analyzed, and
knowledge representation of textile quality attributes was studied.
Second, through the theories of
human-machine-environment-system-engineering (HMESE), probability,
and statistics, the uncertainty factors that affect textile
production quality were extracted, and generation mechanism,
interaction relationship and\linebreak behavioral characteristics of
them was explored. Then, an improved human-machine-environment
brittle model oriented to the textile processing was built. As
verified by the experiment and simulation, 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 pattern of quality fluctuation to generation mechanism, mutual
relations, and behavior identification of the uncertainty factors.
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| Cite this article: |
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Xiao Cao,Jingfeng Shao. Study on Quality Uncertainty Prediction Model Based on Data and Its Application Management[J]. Journal of Fiber Bioengineering and Informatics, 2015, 8(2): 309-320.
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2015, Vol. 8 
