Discriminant analysis and control chart for the fault detection and identification

被引：0

作者：

Pei, Xudong ^{[1
]}

Yamashita, Yoshiyuki ^{[1
]}

Yoshida, Masatoshi ^{[1
]}

Matsumoto, Shigeru ^{[1
]}

机构：

[1] Tohoku Univ, Dept Chem Engn, Sendai, Miyagi 9808579, Japan

来源：

16TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING AND 9TH INTERNATIONAL SYMPOSIUM ON PROCESS SYSTEMS ENGINEERING | 2006年 / 21卷

关键词：

fault detection; fault identification; process monitoring;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper proposes a new fault detection method using an absolute-value based Fisher discriminant analysis combined with the individuals and moving range chart. Two fault identification methods are also proposed by using the discriminant model, those are quantitative data classification method and projected trend analysis. The performance of these methods are evaluated by Tennessee Eastman benchmark problem.

引用

页码：1281 / 1286

页数：6

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