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Multiple fault detection and diagnosis in a gas turbine using nonlinear principal component analysis and structured residuals

Author
Rincon-Charris, A.; Quevedo, J.
Type of activity
Presentation of work at congresses
Name of edition
ASME 2013
Date of publication
2013
Presentation's date
2013-11-20
Book of congress proceedings
Proceedings of the ASME 2013 International Mechanical Engineering Congress and Exposition
First page
1
Last page
8
Repository
http://hdl.handle.net/2117/20847 Open in new window
Abstract
Multiple fault detection and diagnosis is a challenging problem because the number of candidates grows exponentially in the number of faults. In add ition, multiple faults in dynamic systems may be hard to detect, because they can mask or compensate each other’s effects. This paper presents the study of the detection and diagnosis of multiple faults in a SR-30 Gas Turbine using nonlinear principal component analys is as the detection method and structured residuals as th e diagnosis method. Th...
Citation
Rincon-Charris, A.; Quevedo, J. Multiple fault detection and diagnosis in a gas turbine using nonlinear principal component analysis and structured residuals. A: ASME International Mechanical Engineering Congress & Exposition. "Proceedings of the ASME 2013 International Mechanical Engineering Congress and Exposition". San Diego: 2013, p. 1-8.
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems

Participants