以向量回歸模型預測纖維拉伸製程性能

CCUR > College of Natural Science and Engineering > College of Engineering > Department of Textile Engineering > Journal of the Hwa Gang Textile > Item 987654321/36363

Please use this identifier to cite or link to this item: https://irlib.pccu.edu.tw/handle/987654321/36363

Title:	以向量回歸模型預測纖維拉伸製程性能 Prediction of the Fiber stretching process Based on Support Vector Regression-Autoregressive exogenous
Authors:	郭凡丁永生郝礦榮
Contributors:	紡工系
Keywords:	SVR模型 ARX模型纖維牽伸過程預測 SVR Model ARX Model Fiber Stretching Process Prediction
Date:	2016-03
Issue Date:	2017-06-27 12:48:43 (UTC+8)
Abstract:	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。 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.
Relation:	華岡紡織期刊； 23卷2期 (2016 / 03 / 01) ， P106 - 110
Appears in Collections:	[Department of Textile Engineering ] Journal of the Hwa Gang Textile

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