DocumentCode
2936928
Title
Multiple fault detection and diagnosis in a Gas Turbine using principal component analysis and structured residuals
Author
Rincón, Amilcar
Author_Institution
Mech. Eng. Dept., Inter American Univ. of Puerto Rico, Bayamon, Puerto Rico
fYear
2012
fDate
3-6 July 2012
Firstpage
91
Lastpage
97
Abstract
This paper presents the study of the detection and diagnosis of multiple faults in a Gas Turbine using principal component analysis and structured residuals method. The study includes developing a mathematical model and implementation of algorithms for detection and diagnosis of multiple faults in the system using principal component analysis and structured residuals.
Keywords
failure analysis; fault diagnosis; gas turbines; principal component analysis; gas turbine; mathematical model; multiple fault detection; multiple fault diagnosis; principal component analysis; structured residuals method; Data models; Equations; Fault detection; Mathematical model; Principal component analysis; Temperature sensors; Turbines;
fLanguage
English
Publisher
ieee
Conference_Titel
Control & Automation (MED), 2012 20th Mediterranean Conference on
Conference_Location
Barcelona
Print_ISBN
978-1-4673-2530-1
Electronic_ISBN
978-1-4673-2529-5
Type
conf
DOI
10.1109/MED.2012.6265620
Filename
6265620
Link To Document