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| Support Vector Machine Algorithm Based Soft Measurement Model for Post-refiningFiber Morphology of Papermaking Process |
| Received:December 11, 2019 |
| DOI：10.11981/j.issn.1000-6842.2020.02.52 |
| Key Words:pulping process;fiber morphology;soft sensing technology;SVM algorithm |
| Fund Project:制浆造纸工程国家重点实验室开放基金（201830）。 |
| Author Name | Affiliation | Postcode | | 江伦 | 华南理工大学制浆造纸工程国家重点实验室，广东广州，510640 | 510640 | | 满奕 | 华南理工大学制浆造纸工程国家重点实验室，广东广州，510640
深圳新益昌科技股份有限公司, 广东深圳，518000 | 518000 | | 李继庚 | 华南理工大学制浆造纸工程国家重点实验室，广东广州，510640 | 510640 | | 洪蒙纳 | 华南理工大学制浆造纸工程国家重点实验室，广东广州，510640 | 510640 | | 孟子薇 | 华南理工大学制浆造纸工程国家重点实验室，广东广州，510640 | 510640 | | 朱小林 | 华南理工大学制浆造纸工程国家重点实验室，广东广州，510640 | 510640 |
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| Abstract: |
| In this study, a soft measurement model of post-refining fiber morphology in a papermaking process based on support vector machine algorithm (SVM) was proposed. The model used the parameters of original pulp sheet and refining as input for online soft measurement of post-refining fiber morphology. The results showed that when SVM was used for modeling, the average relative error of the seven kinds of soft measurement models of post-refining fiber morphology was between 2.87% and 5.61%, which was better than the modeling based on PLS algorithm (the average relative error was between 3.09% and 6.60%) , and the model precision was good, which met the error requirements of real-time fiber morphology measurement in production. |
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