Description Detail

Vol.23, No.2(2016-3)(106-110) 
Prediction of the Fiber stretching process Based on Support Vector Regression-Autoregressive exogenous
以向量回歸模型預測纖維拉伸製程性能
Fan Guo, Yong-sheng Ding, Kuan-grong Hao
郭凡, 丁永生, 郝礦榮
The fiber stretching process plays a key role in the process of fiber production and its effects is measured by the stretching ratio. The stretching ratio is determined by the relative speed of the winding roller. The stretching ratio is impact on the performance of the final fiber filament and production directly. Focused on the importance of the stretching ratio, the SVR-ARX predictive model for the fiber stretching rate based on existing industry data is proposed. Simulations results demonstrate that the proposed SVR-ARX method can increase the predict results than the traditional SVR method.
牽伸過程是纖維生產中的關鍵環節,其拉伸效果通過牽伸率來衡量。牽伸率主要由各牽伸環節內各個捲繞輥的相對轉速決定。牽伸率直接影響到最終製成的纖維原絲及成品的性能。針對牽伸率在纖維生產過程中的重要性,提出了基於SVR-ARX模型的纖維牽伸率預測方法,得出了纖維牽伸率的預測結果。實驗結果表明,SVM-ARX建立的回歸預測模型比SVR建立的回歸預測模型預測精度高。
SVR Model, ARX Model, Fiber Stretching Process, Prediction
SVR模型、ARX模型、纖維牽伸過程、預測
Year Volume
2020 27.1 | 27.2
27.3 |
2019 26.1 |
2018 25.1 |
2017 24.1 | 24.2
24.3 | 24.4
24.5 | 24.6
24.7 | 24.8
24.9 |
2016 23.1 | 23.2
23.3 | 23.4
23.5 | 23.6
23.7 | 23.8
2015 22.1 | 22.2
22.3 | 22.4
22.5 |
2014 21.1 | 21.2
21.3 |
2013 20.1 | 20.2
20.3 | 20.4
2012 19.1 | 19.2
19.3 | 19.4
2011 18.1 | 18.2
2010 17.4