Steady state detection in industrial gas turbines for condition monitoring and diagnostics applications

Cesar Celis, Érica Xavier, Tairo Teixeira, Gustavo R.S. Pinto

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

8 Citas (Scopus)

Resumen

This work describes the development and implementation of a signal analysis module which allows the reliable detection of operating regimes in industrial gas turbines. Its use is intended for steady state-based condition monitoring and diagnostics systems. This type of systems requires the determination of the operating regime of the equipment, in this particular case, of the industrial gas turbine. After a brief introduction the context in which the signal analysis module is developed is highlighted. Next the state of the art of the different methodologies used for steady state detection in equipment is summarized. A detailed description of the signal analysis module developed, including its different sub systems and the main hypotheses considered during its development, is shown to follow. Finally the main results obtained through the use of the module developed are presented and discussed. The results obtained emphasize the adequacy of this type of procedures for the determination of operating regimes in industrial gas turbines.

Idioma originalInglés
Título de la publicación alojadaCeramics; Controls, Diagnostics and Instrumentation; Education; Manufacturing Materials and Metallurgy
EditorialAmerican Society of Mechanical Engineers (ASME)
ISBN (versión digital)9780791845752
DOI
EstadoPublicada - 2014
Publicado de forma externa
EventoASME Turbo Expo 2014: Turbine Technical Conference and Exposition, GT 2014 - Dusseldorf, Alemania
Duración: 16 jun. 201420 jun. 2014

Serie de la publicación

NombreProceedings of the ASME Turbo Expo
Volumen6

Conferencia

ConferenciaASME Turbo Expo 2014: Turbine Technical Conference and Exposition, GT 2014
País/TerritorioAlemania
CiudadDusseldorf
Período16/06/1420/06/14

Huella

Profundice en los temas de investigación de 'Steady state detection in industrial gas turbines for condition monitoring and diagnostics applications'. En conjunto forman una huella única.

Citar esto