文献类型：期刊文献

中文题名：信息缺乏条件下聚丙烯晴生产过程基于模型的故障诊断研究

英文题名：Study on Model-based Fault Diagnosis of PAN Process in Information Poor Plants

作者：吴运祥[1];陶振麟[1]

机构：[1]华东理工大学自动化系,上海200237

年份：2003

卷号：24

期号：Z1

起止页码：588

中文期刊名：仪器仪表学报

外文期刊名：Chinese Journal of Scientific Instrument

收录：CSTPCD;;Scopus;北大核心:【北大核心2000】；CSCD:【CSCD2011_2012】；

语种：中文

中文关键词：信息缺乏;模型;故障诊断;Matlab

外文关键词：Poor information Model Fault diagnosis Matlab

摘要：本文在分析了化工过程信息缺乏的四个主要要素后 ,研究了信息缺乏条件下主要基于仿真模型的故障诊断方法 ,并且结合实例——聚丙烯晴生产过程的八股流量计故障诊断进行分析 ,依据生产工艺机理对复杂的工艺过程进行系统分割 ,分成八个子系统 ,对故障的诊断分别予以子系统实现 ,在对每个子系统进行独立的基于模型的故障诊断研究的基础上 ,设计了实时监测网络 ,各子系统之间通过路径建立相互连接 ,并讨论了应用 Matlab 6 .0为平台开发监测软件的问题。
After discussing four factors about poor information of chemical process, model based fault diagnosis method is studied. Combining the example fault diagnosis of eight flowmeters of PAN process, the complicated process is divided eight subsystems based on the process mechanism, and fault diagnosis is realized in the subsystem respectively. On the basis of studying model based fault diagnosis of each subsystem separately, real time inspecting network is designed, each subsystem is connected with path. Finally the paper discusses developing inspecting software applying Matlab 6.0.