Título
SADEP a fuzzy diagnostic system shell an application to fossil power plant operation
Autor
GUSTAVO ARROYO FIGUEROA
LUIS ENRIQUE SUCAR SUCCAR
ALEJANDRO VILLAVICENCIO RAMIREZ
Nivel de Acceso
Acceso Abierto
Materias
Resumen o descripción
Artificial Intelligence applications in large-scale industry, such as fossil fuel power plants, require the ability to manage
uncertainty and time. In these domains, the knowledge about the process comes from experts' experience and it is generally
expressed in a vague-fuzzy way using ill-defined linguistic terms. In this paper, we present a fuzzy expert system shell to assist an
operator of fossil power plants. The fuzzy expert system shell, called SADEP, is based on a new methodology for dealing with
uncertainty and time called Fuzzy Temporal Network (FTN). The FTN generates a formal and systematic structure used to model
the temporal evolution of a process under uncertainty. The inference mechanism for a FTN consists in the calculation of the
possibility degree of the real time occurrence of the events using the fuzzy compositional rule Sup_min, A FTN can be used to
recognize the significance of events and state variables with respect to current plant conditions and predict the future propagation
of disturbances. SADEP was validated with the diagnosis of two detailed disturbances of a fossil power plant: a power load
increment in the drum level and a water condenser pump failure. The evaluations performed in this work indicate that SADEP can
potentially improve plant availability through early diagnosis of disturbances that could lead to plant shutdown.
Fecha de publicación
febrero de 2000
Tipo de publicación
Artículo
Versión de la publicación
Versión publicada
Recurso de información
Formato
application/pdf
Fuente
ISSN 0930-1984
Idioma
Inglés
Repositorio Orígen
Repositorio Institucional de Acceso Abierto de Información Científica, Tecnológica y de Innovación del INEEL
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