Artificial neural network-based failure detection and isolation

被引：0
|
作者：
Sadok, M [1 ]
Gharsalli, I [1 ]
Alouani, AT [1 ]
机构：
[1] Tennessee Technol Univ, Ctr Elect Power, Cookeville, TN 38501 USA
来源：
APPLICATIONS AND SCIENCE OF COMPUTATIONAL INTELLIGENCE | 1998年 / 3390卷
关键词：
failure detection; sensitive variables; artificial neural network; mapping;
D O I：
10.1117/12.304808
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents the design of a systematic failure detection and isolation system that uses the concept of failure sensitive variables (FSV) and artificial neural networks (ANN). The proposed approach was applied to tube leak detection in a utility boiler system. Results of the experimental testing are presented in the paper.
引用
收藏
页码：219 / 225
页数：7
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