摘要
在生物发酵过程中传统控制方法经常难以胜任,同时发酵过程积累了大量的历史数据。粗糙集理论是一种数据推理方法,文章提出将其应用于生物发酵过程的补料时机的识别与控制、发酵状态故障诊断和异常工况故障诊断,并阐述了具体思路,构造了应用框架,讨论了该方法的特点。
In fermentation process,traditional control theory is often incompetent ,and abundant historical data are accu-mulated.Rough Set Theory is a method of data reasoning.In this paper applies it in identifying occasions of substrate feeding and fault diagnosis in fermentation process.Detailed approach is given,and the characters of this application are discussed.
出处
《计算机工程与应用》
CSCD
北大核心
2004年第16期203-205,共3页
Computer Engineering and Applications
基金
国家973基础研究发展计划项目(编号:2002CB312200)资助
关键词
粗糙集理论
发酵过程
补料
故障诊断
Rough Set Theory,fermentation process,substrate feeding,fault diagnosis
