Title :
Multiple fault detection and diagnosis in a Gas Turbine using principal component analysis and structured residuals
Author_Institution :
Mech. Eng. Dept., Inter American Univ. of Puerto Rico, Bayamon, Puerto Rico
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;
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
DOI :
10.1109/MED.2012.6265620
