Wavelet-based density estimation and application to process monitoring

被引：28

作者：

Safavi, AA ^{[1
]}

Chen, J ^{[1
]}

Romagnoli, JA ^{[1
]}

机构：

[1] UNIV SYDNEY, DEPT CHEM ENGN, ICI, PROC SYST ENGN LAB, SYDNEY, NSW 2006, AUSTRALIA

来源：

AICHE JOURNAL | 1997年 / 43卷 / 05期

关键词：

D O I：

10.1002/aic.690430512

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

An application of wavelets and multiresolution analysis to density estimation and process monitoring is presented. Wavelet-based density-estimation techniques are developed as an alternative and superior method to other common density-estimation techniques. Also shown is the effectiveness of wavelet estimators when the observations are dependent. The resulting density estimators are then used in defining a normal operating region for the process under study SO that any abnormal behavior by the process can be monitored. Results of applying these techniques to a typical multivariate chemical process are also presented.

引用

页码：1227 / 1241

页数：15

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