Soft Measurement Model Based on Gradient Boosting Regression Tree Algorithm for Creases Level of Tissue Paper [基于梯度提升回归树算法的生活用纸皱纹等级软测量模型]

作者：Zhang D.; Hong M.; Li J.; Man Y.^*

来源：China Pulp and Paper, 2020, 39(6): 36-42.

DOI：10.11980/j.issn.0254-508X.2020.06.006

• Creases level
• Creping
• Gradient boosting regression tree algorithm
• Soft measurement

Creases level is one of the most important indicators to measure the quality of tissue paper. However, there is a lack of the real-time on-line measurement method of creases level in production. In order to address this issue, this paper analyzed the factors affecting the creases level of tissue paper by experiments. A soft measurement model of paper roughness,creases amplitude,creases frequency was established using the gradient boosting regression tree algorithm. And a real-time online soft measurement of creases levels could be realized by predicting these three indicators. In comparison with the industrial real data, it was found that the model had higher prediction accuracy for surface roughness, amplitude and frequency of the creases. The average relative error of the testing data was less than 5%. This model solved the problem of online soft measurement of creases level. It provided a new method and basis for the quality control of the tissue production process.

• 单位
  华南理工大学; 制浆造纸工程国家重点实验室