Title :
Residual Generation from Principal Component Models for Fault Diagnosis in Linear Systems - Part I: Review of Static Systems
Author_Institution :
Sch. of Inf. Technol., George Mason Univ., Fairfax, VA
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;
Conference_Titel :
Intelligent Control, 2005. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation
Conference_Location :
Limassol
Print_ISBN :
0-7803-8936-0
DOI :
10.1109/.2005.1467087