Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Power Plant Experience with Artificial Intelligence Based, On-Line Diagnostic Systems
Abstract The utility industry is entering a period when generation equipment availability will become increasingly critical due to the lack of new power plants being planned and built. The increasing percentage of all electric homes adding to peak demands will require more plant equipment to be used in a cyclic duty mode. Availability is on the increase with forced and planned maintenance hours decreasing. Factors that are contributing of this improvement are new units coming on-line with the latest in technology coupled with the installation of retrofit components containing that same technology such as the Rigi-Flex generators and ruggedized turbine rotors. In conjunction with hardware advances, technology advancements in monitoring and diagnostics are permitting the identification of potential malfunctions so that corrective actions can be taken, thus preventing lengthy outages. It is this last area that this paper will address.
Power Plant Experience with Artificial Intelligence Based, On-Line Diagnostic Systems
Abstract The utility industry is entering a period when generation equipment availability will become increasingly critical due to the lack of new power plants being planned and built. The increasing percentage of all electric homes adding to peak demands will require more plant equipment to be used in a cyclic duty mode. Availability is on the increase with forced and planned maintenance hours decreasing. Factors that are contributing of this improvement are new units coming on-line with the latest in technology coupled with the installation of retrofit components containing that same technology such as the Rigi-Flex generators and ruggedized turbine rotors. In conjunction with hardware advances, technology advancements in monitoring and diagnostics are permitting the identification of potential malfunctions so that corrective actions can be taken, thus preventing lengthy outages. It is this last area that this paper will address.
Power Plant Experience with Artificial Intelligence Based, On-Line Diagnostic Systems
Osborne, R. L. (Autor:in) / Coffman, M. (Autor:in)
01.01.1988
7 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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