|
二维码（扫一下试试看！） |
| Incipient Fault Detection in Papermaking Wastewater Treatment Processes |
| |
| DOI：10.11980/j.issn.0254-508X.2017.08.004 |
| Key Words:papermaking wastewater treatment process principal component analysis cumulative sum （CUSUM） exponent weighted moving average （EWMA） fault detection |
| Fund Project:制浆造纸工程国家重点实验室开放基金资助项目（201610）；南京林业大学高层次人才科研启动基金（163105996）；江苏省制浆造纸科学与技术重点实验室开放基金项目（201530）。 |
| Author Name | Affiliation | | 王龄松1 | 1.南京林业大学江苏省制浆造纸科学与技术重点实验室,江苏南京,210037 | | 马璞璠1 | 1.南京林业大学江苏省制浆造纸科学与技术重点实验室,江苏南京,210037 | | 叶凤英1 | 1.南京林业大学江苏省制浆造纸科学与技术重点实验室,江苏南京,210037 | | 熊智新1 | 1.南京林业大学江苏省制浆造纸科学与技术重点实验室,江苏南京,210037 | | 赵小燕1 | 1.南京林业大学江苏省制浆造纸科学与技术重点实验室,江苏南京,210037 | | 刘鸿斌1,2,* | 1.南京林业大学江苏省制浆造纸科学与技术重点实验室,江苏南京,210037；2.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: 9916 |
| Download times: 3825 |
| Abstract:Incipient fault detection has been an important research topic in the field of process monitoring. However, traditional multivariate statistical process monitoring methods fail to detect incipient faults. In this paper, two methods were developed for the incipient fault detection of a papermaking wastewater treatment process: multivariate cumulative sum combined with principal component analysis （PCA） and multivariate exponent weighted moving average combined with PCA. The results proved the effectiveness of the proposed fault monitoring methods． |
| View Full Text HTML View/Add Comment Download reader |
|
|
|