Study on Quality Monitoring and Abnormal Analysis Method for Tissue Paper [生活用纸质量监控与异常分析方法的研究]

作者：Wang H.; Li J.-G.^*; Man Y.; Zeng Z.-Q.; Wang B.

来源：China Pulp and Paper, 2017, 36(11): 44-49.

DOI：10.11980/j.issn.0254-508X.2017.11.008

• Abnormal identification
• Multivariate statistical process control
• Quality analysis
• Tissue paper

The quality of tissue paper directly affect its sales market. A tissue paper mill tests the value of a single variable to determine whether qualified the product is without taking into account the integrity of the variables, this test method will lead to increase of misjudgment rate. Nowadays, the statistical process control model has been applied in quality monitoringat at home and abroad, tissue paper contains a variety of quality variables, evidently only a single variable monitoring is not enough. Therefore, the Multivariable Statistical Process Control (MSPC) model was proposed in this paper, which monitored the product quality from the overall perspective on the basis of SPC. And the model was applied to the product quality monitoring and analysis in a tissue paper mill in Jiangmen, Guangdong Province, to find out the abnormal product and analyze the abnormal reason with the contribution rate of the integrated variable. Finally, the accuracy of the model was verified by introducing 10 sets of fault points. The results showed that the MSPC method was effective and feasible for quality monitoring.

• 单位
  华南理工大学; 制浆造纸工程国家重点实验室