文献类型：期刊文献

中文题名：基于MAS的化工过程故障诊断研究(Ⅱ)

英文题名：Research on Fault Diagnosis of Chemical Processes Based on MAS(Ⅱ)

作者：孙京诰[1];侍洪波[1];黄道[1]

机构：[1]工业自动化国家工程中心华东理工大学分部,上海200237

年份：2006

卷号：32

期号：4

起止页码：444

中文期刊名：华东理工大学学报（自然科学版）

外文期刊名：Journal of East China University of Science and Technology

收录：CSTPCD;;Scopus;北大核心:【北大核心2004】；CSCD:【CSCD2011_2012】；

基金：上海市自然科学基金(01ZD14014)

语种：中文

中文关键词：多智能体;故障诊断;化工过程;尿素蒸发与造粒

外文关键词：multi-agent; fault diagnosis; chemical process; urea evaporation and pelleting process

摘要：针对化工过程的故障诊断问题,给出了分布式化工过程故障诊断问题的多智能体的合作求解模型。通过对尿素生产过程中尿素蒸发与造粒的化工过程的仿真研究,详细描述了基于多智能体的故障诊断系统的应用方法。这种分布式的框架结构同以往的集中式的诊断方法相比,无论是在满足通信需求还是在简化计算复杂程度上都具有显著的优越性。
For solving the fault diagnosis problem of chemical processes, a new kind of distributed cooperative fault diagnosis model based on multi-agent system is provided. As an example of how to apply this architecture to distributed process fault diagnosis system, an actual system is shown, a fault diagnosis system of urea evaporation and pelleting process. Compared with the centralized fault diagnosis method, the distributed architecture is superior both at communication requirement and computational complexity.