An improved principal component analysis scheme for sensor fault detection and isolation : application to a three tanks system

被引：2

作者：

Guerfel, Mohamed ^{[1
]}

Ben Aicha, Anissa ^{[1
]}

Ben Othman, Kamel ^{[1
]}

Benrejeb, Mohamed ^{[1
]}

机构：

[1] Natl Engn Sch Tunis, LARA Automat, Res Unit, Tunis 1002, Tunisia

来源：

MED: 2009 17TH MEDITERRANEAN CONFERENCE ON CONTROL & AUTOMATION, VOLS 1-3 | 2009年

关键词：

statistical methods; PCA; system monitoring; fault detection; localization; IDENTIFICATION; RECONSTRUCTION; PCA; DIAGNOSIS; NUMBER;

D O I：

10.1109/MED.2009.5164540

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper a sensor fault detection and isolation procedure based on principal component analysis (PCA) is proposed to monitor a three interconnected tanks system. The PCA model is built to maximize fault detection sensitivity using a new index. The localization procedure is carried out using two methods. The first is based on the variables contribution to the fault index. The second is based on the reconstruction approach.

引用

页码：205 / 210

页数：6

共 31 条

[1]

BENAICHA A, 2008, THESIS NATL ENG SCH

[2] SOME THEOREMS ON QUADRATIC FORMS APPLIED IN THE STUDY OF ANALYSIS OF VARIANCE PROBLEMS .1. EFFECT OF INEQUALITY OF VARIANCE IN THE ONE-WAY CLASSIFICATION [J].

BOX, GEP .

ANNALS OF MATHEMATICAL STATISTICS, 1954, 25 (02) :290-302

[3] Subspace approach to multidimensional fault identification and reconstruction [J].

Dunia, R ;

Qin, SJ .

AICHE JOURNAL, 1998, 44 (08) :1813-1831

[4] Joint diagnosis of process and sensor faults using principal component analysis [J].

Dunia, R ;

Qin, SJ .

CONTROL ENGINEERING PRACTICE, 1998, 6 (04) :457-469

[5] Modelling for fault detection and isolation versus modelling for control [J].

Frank, PM ;

García, EA ;

Köppen-Seliger, B .

MATHEMATICS AND COMPUTERS IN SIMULATION, 2000, 53 (4-6) :259-271

[6] PCA-based fault diagnosis in the presence of control and dynamics [J].

Gertler, J ;

Cao, J .

AICHE JOURNAL, 2004, 50 (02) :388-402

[7]

GUERFEL M, 2008, 1 INT WORKSH SYST EN

[8] An improved PCA scheme for sensor FDI: Application to an air quality monitoring network [J].

Harkat, MF ;

Mourot, G ;

Ragot, J .

JOURNAL OF PROCESS CONTROL, 2006, 16 (06) :625-634

[9]

HARKAT MF, 2005, J EUROPEEN SYSTEMES, V39, P417

[10] Sensor and actuator fault isolation by structured partial PCA with nonlinear extensions [J].

Huang, Y ;

Gertler, J ;

McAvoy, TJ .

JOURNAL OF PROCESS CONTROL, 2000, 10 (05) :459-469

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