Adaptive Soft-sensor Modeling Algorithm Based on FCMISVM and Its Application in PX Adsorption Separation Process

傅永峰; 苏宏业; 张英; 褚健

doi:10.1016/S1004-9541(08)60150-0

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Adaptive Soft-sensor Modeling Algorithm Based on FCMISVM and Its Application in PX Adsorption Separation Process

Updated：2026-01-06

- Adaptive Soft-sensor Modeling Algorithm Based on FCMISVM and Its Application in PX Adsorption Separation Process
- Adaptive Soft-sensor Modeling Algorithm Based on FCMISVM and Its Application in PX Adsorption Separation Process
- 中国化学工程学报（英文版） 2008年16卷第5期页码：746-751
- Affiliations：
  
  1. Modern Education Technology Center, College of Education, Zhejiang University,Hangzhou,China,310027
  2. National Laboratory of Industrial Control Technology, Institute of Cyber Systems and Control, Zhejiang University,Hangzhou,China,310027
  3. BI Center of Competency, IBM China SWG,Shanghai,China,200021
- Author bio：
- Funds：
  
  the National Natural Science Foundation of China(60421002);priority supported financially by“the NewCentury 151 Talent Project”of Zhejiang Province.
- DOI：10.1016/S1004-9541(08)60150-0
  中图分类号：
- 纸质出版：2008
- Accepted：
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傅永峰, 苏宏业, 张英, 等. Adaptive Soft-sensor Modeling Algorithm Based on FCMISVM and Its Application in PX Adsorption Separation Process[J]. 中国化学工程学报（英文版）, 2008,16(5):746-751.

FU Yongfeng, SU Hongye, ZHANG Ying, CHU Jian. Adaptive Soft-sensor Modeling Algorithm Based on FCMISVM and Its Application in PX Adsorption Separation Process[J]. , 2008, 16(5): 746-751.
傅永峰, 苏宏业, 张英, 等. Adaptive Soft-sensor Modeling Algorithm Based on FCMISVM and Its Application in PX Adsorption Separation Process[J]. 中国化学工程学报（英文版）, 2008,16(5):746-751. DOI： 10.1016/S1004-9541(08)60150-0.

FU Yongfeng, SU Hongye, ZHANG Ying, CHU Jian. Adaptive Soft-sensor Modeling Algorithm Based on FCMISVM and Its Application in PX Adsorption Separation Process[J]. , 2008, 16(5): 746-751. DOI： 10.1016/S1004-9541(08)60150-0.

摘要

Abstract

To overcome the problem that soft sensor models cannot be updated with the process changes

a soft sensor modeling algorithm based on hybrid fuzzy c-means(FCM)algorithm and incremental support vector machines(ISVM)is proposed.This hybrid algorithm FCMISVM includes three parts:samples clustering based on FCM algorithm

learning algorithm based on ISVM

and heuristic sample displacement method.In the training process

the training samples are first clustered by the FCM algorithm

and then by training each clustering with the SVM algorithm

a sub-model is built to each clustering.In the predicting process

when an incremental sample that represents new operation information is introduced in the model

the fuzzy membership function of the sample to each clustering is first computed by the FCM algorithm.Then

a corresponding SVM sub-model of the clustering with the largest fuzzy membership function is used to predict and perform incremental learning so the model can be updated on-line.An old sample chosen by heuristic sample displacement method is then discarded from the sub-model to control the size of the working set.The proposed method is applied to predict the p-xylene(PX)purity in the adsorption separation process.Simulation results indicate that the proposed method actually increases the model's adaptive abilities to various operation conditions and improves its generalization capability.

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