New decision rules for Fisher discriminant analysis : applied to fault diagnosis

被引：0
|
作者：
Atoui, M. Amine [1 ,2 ]
Cocquempot, Vincent [2 ]
机构：
[1] Univ Lille, CNRS, IEMN CRIStAL, Lille, France
[2] Univ Lille, CNRS, CRIStAL, Lille, France
来源：
2021 EUROPEAN CONTROL CONFERENCE (ECC) | 2021年
关键词：
NETWORK;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A novel framework for fault diagnosis is proposed. New rules are presented to enhance decision making under a probabilistic latent model. The proposed decision rules improve Fisher discriminant analysis-based scheme for fault diagnosis. They allow it to deal with known and not acknowledged faults. Performance evaluation using the Tennessee Eastman Process data is presented and shows good results in comparison to the state of the art.
引用
收藏
页码：2298 / 2303
页数：6
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