DYNAMIC PROCESS MONITORING BASED ON WAVELET FUNCTION BASED NEURAL NETWORK WITH NONLINEAR PLS

Zhao Zhong; Jiang Weisun; Gu Xingsheng(Research Institute of Automatic Control

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DYNAMIC PROCESS MONITORING BASED ON WAVELET FUNCTION BASED NEURAL NETWORK WITH NONLINEAR PLS

更新时间：2025-12-16

- DYNAMIC PROCESS MONITORING BASED ON WAVELET FUNCTION BASED NEURAL NETWORK WITH NONLINEAR PLS
- CIESC Journal Issue 3, (1998)
- 作者机构：
  
  华东理工大学自动化研究所!上海20037,华东理工大学自动化研究所!上海20037,华东理工大学自动化研究所,上海,20037
- 作者简介：
- 基金信息：
- DOI：
  CLC： Q02
- Online First：25 June 1998，
  
  Published：25 June 1998
- 稿件说明：
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Zhao Zhong, Jiang Weisun, Gu Xingsheng(Research Institute of Automatic Control. DYNAMIC PROCESS MONITORING BASED ON WAVELET FUNCTION BASED NEURAL NETWORK WITH NONLINEAR PLS[J]. CIESC Journal, 1998, (3).
DOI：

Zhao Zhong, Jiang Weisun, Gu Xingsheng(Research Institute of Automatic Control. DYNAMIC PROCESS MONITORING BASED ON WAVELET FUNCTION BASED NEURAL NETWORK WITH NONLINEAR PLS[J]. CIESC Journal, 1998, (3). DOI：

摘要

Abstract

Based on the analysis of wavelet transform and PLS

a new type of neural network:wavelet function based neural network with nonlinear PLS has been proposed and applied to dynamic process monitoring.According to the complicated properties of the noise in the real process

a filter algorithm using orthonomal discrete wavelet transform has been proposed.The theoretical analysis and application results have shown that the algorithms are feasible and effective.

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