Steady-state detection of chemical processes based on trend extraction with wavelet packet

YAO Shuhui; CHU Jizheng

doi:10.3969/j.issn.0438-1157.2013.12.022

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Steady-state detection of chemical processes based on trend extraction with wavelet packet

更新时间：2025-12-10

- Steady-state detection of chemical processes based on trend extraction with wavelet packet
- CIESC Journal Issue 12, Pages: 4416-4421(2013)
- 作者机构：
  
  北京化工大学信息科学与技术学院,北京,100029
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0438-1157.2013.12.022
  CLC： P27TQ015.9
- Online First：05 December 2013，
  
  Published：05 December 2013
- 稿件说明：
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YAO Shuhui, CHU Jizheng. Steady-state detection of chemical processes based on trend extraction with wavelet packet[J]. CIESC Journal, 2013, (12): 4416-4421.
DOI：

YAO Shuhui, CHU Jizheng. Steady-state detection of chemical processes based on trend extraction with wavelet packet[J]. CIESC Journal, 2013, (12): 4416-4421. DOI： 10.3969/j.issn.0438-1157.2013.12.022.

摘要

构建了一种基于小波包阈值降噪的化工过程稳态检验方法。方法包括3个步骤：粗差剔除，小波包变换降噪和稳态辨识，具有简单易行且精度良好的特点。在小波包降噪中，通过引入阈值补偿因子，使得降噪过程更加灵活，以便在去除随机噪声和信号真值保留之间取得均衡效果。两个仿真示例展示了本文方法在单变量和多变量系统稳态检验上的有效性。

Abstract

Steady-state detection is to determine whether the chemical process is operating in a state of steadiness or not.It is an essential step in the field of process optimization and so on.Based on wavelet packet analysis for denoising

a steady state detection scheme is constructed in this study.The scheme includes three steps

removing coarse error

denoising and identifying steady state periods

and is featured with simple implementation and good accuracy.In the denoising step with wavelet packet transform

a compensating factor is introduced for the threshold

making it flexible and easy to achieve the right balance between removal of the noise and preservation of the true value of a signal.Two simulation tests are presented to demonstrate the effectiveness of the scheme of this study.

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