Application of wavelets and neural networks to diagnostic system development, 2, an integrated framework and its application

被引：33

作者：

Wang, XZ ^{[1
]}

Chen, BH ^{[1
]}

Yang, SH ^{[1
]}

McGreavy, C ^{[1
]}

机构：

[1] Univ Leeds, Dept Chem Engn, Leeds LS2 9JT, W Yorkshire, England

来源：

COMPUTERS & CHEMICAL ENGINEERING | 1999年 / 23卷 / 07期

关键词：

feature extraction; wavelet multiscale analysis; integrated framework; operational states;

D O I：

10.1016/S0098-1354(99)00260-4

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A method for feature extraction from process dynamic transient signals using wavelet multiscale analysis was introduced in part of this paper. In part 2 we describe an integrated framework combining wavelet feature extraction and an unsupervised neural network for identification of operational states. Application of the system to a refinery residual fluid catalytic cracking process is also presented. (C) 1999 Elsevier Science Ltd. All rights reserved.

引用

页码：945 / 954

页数：10

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