Application of AIS based on SV for fault diagnosis of vinyl chloride polymerization batch process

WEI Qiaoling; ZHAO Jinsong; ZHONG Benhe

doi:10.11949/j.issn.0438-1157.20141413

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Application of AIS based on SV for fault diagnosis of vinyl chloride polymerization batch process

更新时间：2025-12-10

- Application of AIS based on SV for fault diagnosis of vinyl chloride polymerization batch process
- CIESC Journal Issue 2, Pages: 635-639(2015)
- 作者机构：
  
  1. 四川大学化学工程学院,四川,成都,610065
  2. 清华大学化学工程系,北京,100084
- 作者简介：
- 基金信息：
- DOI：10.11949/j.issn.0438-1157.20141413
  CLC： P311
- Online First：05 February 2015，
  
  Published：05 February 2015
- 稿件说明：
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WEI Qiaoling, ZHAO Jinsong, ZHONG Benhe. Application of AIS based on SV for fault diagnosis of vinyl chloride polymerization batch process[J]. CIESC Journal, 2015, (2): 635-639.
DOI：

WEI Qiaoling, ZHAO Jinsong, ZHONG Benhe. Application of AIS based on SV for fault diagnosis of vinyl chloride polymerization batch process[J]. CIESC Journal, 2015, (2): 635-639. DOI： 10.11949/j.issn.0438-1157.20141413.

摘要

根据聚氯乙烯工业生产过程的工艺信息、操作规程和历史数据

利用Aspen软件建立了氯乙烯悬浮聚合间歇过程的动态仿真模型

由模拟得到的多个状态的样本数据生成正常模拟疫苗和故障模拟疫苗

结合工业数据建立正常抗体库和故障抗体库

解决了氯乙烯聚合过程故障诊断中故障样本数据缺乏的问题。利用动态时间弯曲算法和人工免疫系统对该聚合反应间歇过程进行故障诊断

具有较好的诊断效果。

Abstract

According to the process information

operation procedure and historical data of polyvinylchloride (PVC) industrial process

a dynamic simulation model of vinyl chloride (VCM) suspension polymerization batch process was built with Aspen. Normal simulated vaccine (SV) and fault simulated vaccine which generated by various simulated samples

combining industrial practical data

constructed normal antibody library and fault antibody libraries. This method could deal with the limitation of historical fault samples in fault diagnosis of vinyl chloride polymerization process. Artificial immune system (AIS) based on dynamic time warping (DTW) algorithm was applied to fault diagnosis of this polymerization batch process

which shows great performance.

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