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華岡紡織期刊

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篇名 以向量回歸模型預測纖維拉伸製程性能
卷期 23:2
並列篇名 Prediction of the Fiber stretching process Based on Support Vector Regression-Autoregressive exogenous
作者 郭凡丁永生郝礦榮
頁次 106-110
關鍵字 SVR模型ARX模型纖維牵伸過程預測SVR ModelARX ModelFiber Stretching ProcessPrediction
出刊日期 201603

中文摘要

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。

英文摘要

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.

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