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

Autor
Rincon-Charris, A.; Quevedo, J.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
ASME 2013
Any de l'edició
2013
Data de presentació
2013-11-20
Llibre d'actes
Proceedings of the ASME 2013 International Mechanical Engineering Congress and Exposition
Pàgina inicial
1
Pàgina final
8
Repositori
http://hdl.handle.net/2117/20847 Obrir en finestra nova
Resum
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...
Citació
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.
Grup de recerca
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Sistemes Avançats de Control

Participants