ICA algorithm based on recursively updating of feature space and application to fermentation process monitoring

LIU Shicheng; GAO Yanchen; WANG Haiqing; LI Ping

您当前的位置：

首页 >

文章列表页 >

ICA algorithm based on recursively updating of feature space and application to fermentation process monitoring

更新时间：2025-12-10

- ICA algorithm based on recursively updating of feature space and application to fermentation process monitoring
- CIESC Journal Issue 11, Pages: 2830-2836(2008)
- 作者机构：
  
  1. 浙江大学工业控制技术国家重点实验室，工业控制研究所
  2. 青岛市工业信息化技术重点实验室
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Online First：05 November 2008，
  
  Published：05 November 2008
- 稿件说明：
移动端阅览
LIU Shicheng, GAO Yanchen, WANG Haiqing, et al. ICA algorithm based on recursively updating of feature space and application to fermentation process monitoring[J]. CIESC Journal, 2008, (11): 2830-2836.
DOI：

LIU Shicheng, GAO Yanchen, WANG Haiqing, et al. ICA algorithm based on recursively updating of feature space and application to fermentation process monitoring[J]. CIESC Journal, 2008, (11): 2830-2836. DOI：

摘要

及时更新监测模型以适应过程的时变特性，对准确检测出化工过程异常和设备故障具有重要意义。针对普通独立元分析（ICA）算法在更新计算监测模型时计算复杂度高、效率低的缺点，提出了一种基于特征空间递归更新的在线独立元分析（RUFS-ICA）算法。将算法应用于青霉素发酵过程的在线建模与监测中，与普通ICA方法相比，仿真统计结果表明，平均误警率降低至1.67%，基本克服了漏报现象；与其他在线更新算法相比，复杂度明显降低，计算时间减少54.1%，节省了存储量。

Abstract

Updating the monitoring model timely to address the time-variant characteristics has vital significance in detecting abnormalities of chemical process and equipment breakdown exactly.The conventional ICA-based methods used to update the model have a high computational load and low efficiency.RUFS-ICA algorithm was proposed to model and monitor a fed-batch penicillin fermentation process on line.Compared with conventional ICA methods

the proposed method reduced the false alarm rate to 1.67% and basically overcame alarm failures.Compared with other methods

the algorithm could greatly decrease the computation time by about 54.1%

and saved the memory.

关键词

Keywords

references

Views

492

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Online batch process monitoring based on kernel ICA

Key kernel network and its application to online modeling for fermentation processes

Study on the residence time distribution characteristics of the TPMS-Diamond static mixer

Controlled synthesis of Bi2MoO6/MoO3 composite fibers via in-situ hydrothermal method and their high-efficiency photocatalytic hydrogen production performance

Recent advances and perspectives on sulfide-based photocatalysts for hydrogen production

Related Author

WANG Li

SHI Hongbo

LIU Yi

WANG Haiqing

LI Ping

Related Institution

华东理工大学自动化研究所

浙江大学工业控制研究所，工业控制技术国家重点实验室

⁰