An improved intelligent early warning method based on MWSPCA and its application in complex chemical processes

作者: Zhiqiang Geng , Ning Chen , Yongming Han , Bo Ma

DOI: 10.1002/CJCE.23674

关键词:

摘要: … of the complex chemical process, this paper proposes an intelligent early warning model based on the MWSPCA algorithm. In order to monitor the complex chemical process in real …

参考文章(28)
Hui Zou, Trevor Hastie, Robert Tibshirani, Sparse Principal Component Analysis Journal of Computational and Graphical Statistics. ,vol. 15, pp. 265- 286 ,(2006) , 10.1198/106186006X113430
J. Edward Jackson, Govind S. Mudholkar, Control Procedures for Residuals Associated With Principal Component Analysis Technometrics. ,vol. 21, pp. 341- 349 ,(1979) , 10.1080/00401706.1979.10489779
E. Cai, Dan liu, Ling Liang, Guanghua Xu, Monitoring of chemical industrial processes using integrated complex network theory with PCA Chemometrics and Intelligent Laboratory Systems. ,vol. 140, pp. 22- 35 ,(2015) , 10.1016/J.CHEMOLAB.2014.10.008
H. Hotelling, Analysis of a complex of statistical variables into principal components. Journal of Educational Psychology. ,vol. 24, pp. 498- 520 ,(1933) , 10.1037/H0071325
Anders Willersrud, Mogens Blanke, Lars Imsland, Alexey Pavlov, Fault diagnosis of downhole drilling incidents using adaptive observers and statistical change detection Journal of Process Control. ,vol. 30, pp. 90- 103 ,(2015) , 10.1016/J.JPROCONT.2014.12.010
Karl Pearson, LIII. On lines and planes of closest fit to systems of points in space Philosophical Magazine Series 1. ,vol. 2, pp. 559- 572 ,(1901) , 10.1080/14786440109462720
Michele Gallo, Nickolay T. Trendafilov, Antonella Buccianti, Sparse PCA and investigation of multi-elements compositional repositories: theory and applications Environmental and Ecological Statistics. ,vol. 23, pp. 421- 434 ,(2016) , 10.1007/S10651-016-0346-Y
Zhiqiang Geng, Jie Chen, Yongming Han, Energy Efficiency Prediction Based on PCA-FRBF Model: A Case Study of Ethylene Industries IEEE Transactions on Systems, Man, and Cybernetics. ,vol. 47, pp. 1763- 1773 ,(2017) , 10.1109/TSMC.2016.2523936
Mahdieh Askarian, Reza Zarghami, Farhang Jalali-Farahani, Navid Mostoufi, Fault diagnosis of chemical processes considering fault frequency via Bayesian network The Canadian Journal of Chemical Engineering. ,vol. 94, pp. 2315- 2325 ,(2016) , 10.1002/CJCE.22603