FAULT-DIAGNOSIS IN COMPLEX CHEMICAL-PLANTS USING ARTIFICIAL NEURAL NETWORKS

被引：123
作者：
HOSKINS, JC
KALIYUR, KM
HIMMELBLAU, DM
机构：
[1] Dept. of Chemical Engineering, University of Texas, Austin, Texas
来源：
AICHE JOURNAL | 1991年 / 37卷 / 01期
关键词：
D O I：
10.1002/aic.690370112
中图分类号：
TQ [化学工业];
学科分类号：
0817 ;
摘要：
[No abstract available]
引用
收藏
页码：137 / 141
页数：5
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