|
二维码（扫一下试试看！） |
| Study on Quality Monitoring and Abnormal Analysis Method for Tissue Paper |
| |
| DOI：10.11980/j.issn.0254-508X.2017.11.008 |
| Key Words:tissue paper multivariate statistical process control quality analysis abnormal identification |
| Fund Project:广东省省级科技计划项目（2013B010406002,2015A0-10104004, 2015B010110004）；制浆造纸工程国家重点实验室自主研究项目（2017QN02）。 |
| Author Name | Affiliation | | 汪 涵 | 华南理工大学制浆造纸工程国家重点实验室,广东广州,510640 | | 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 | | 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 | | 曾志强 | 华南理工大学制浆造纸工程国家重点实验室,广东广州,510640 | | 王 波 | 华南理工大学制浆造纸工程国家重点实验室,广东广州,510640 |
|
| Hits: 10507 |
| Download times: 2984 |
| Abstract: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． |
| View Full Text HTML View/Add Comment Download reader |
|
|
|