DocumentCode
3548837
Title
Residual Generation from Principal Component Models for Fault Diagnosis in Linear Systems - Part I: Review of Static Systems
Author
Gertler, Janos
Author_Institution
Sch. of Inf. Technol., George Mason Univ., Fairfax, VA
fYear
2005
fDate
27-29 June 2005
Firstpage
628
Lastpage
633
Abstract
First some fundamental concepts of principal component analysis are summarized. This is followed by the review of our recently developed and published results on the generation of enhanced (structured) residuals from PC models, both by algebraic transformation and by direct structured modeling. Recent results on residual optimization and extensions to dynamic systems are discussed in Part II of the paper
Keywords
fault diagnosis; linear systems; principal component analysis; reliability theory; fault diagnosis; linear systems; principal component analysis; residual generation; static systems; Chemical processes; Equations; Fault detection; Fault diagnosis; Linear systems; Mathematical model; Principal component analysis; Redundancy; System identification; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control, 2005. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation
Conference_Location
Limassol
ISSN
2158-9860
Print_ISBN
0-7803-8936-0
Type
conf
DOI
10.1109/.2005.1467087
Filename
1467087
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