An Intelligent System of Real-time Monitoring and Fault Diagnosis for Chemical Processes

摘要：

An intelligent system of real-time monitoring and fault diagnosis for chemical processes is introduced in this paper. The system integrated frame, the knowledge base, the inference machine and the knowledge acquisition are discussed in detail. A mixed reasoning strategy and the deep first search strategy are adopted in the reasoning process. In this paper, interviews, decision tree, and analysis of production flow are adopted as the knowledge acquisition techniques. This paper also presents the use of decision tree to generate the rules automatically from the data set. The industrial application of the proposed system proved its high reliability and accuracy.

关键词： Expert System Sorting Strategy Decision Tree Fault Diagnosis

作者: Liang Xu Xiuxi Li Li Lin Yu Qian

作者单位: School of Chem.Eng.,South China University of Technology,Guangzhou,510640,P.R.China

会议类型: 国际会议

会议名称: 第四届亚洲过程系统工程会议暨2007年中国国际系统工程年会(The 4th International Symposium on Design,Operation & Control of Chemical Processes)(PSE ASIA 2007)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-08-15（万方平台首次上网日期，不代表论文的发表时间）