A numerical method for the solution of geothermal reservoir model equations

Gelegenis, John; Lygerou, V; Koumoutsos, N.G.

doi:10.1016/0375-6505(89)90064-3

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“…Coupled techniques for fault detection are considered as a strategically important research area (Gelegenis et al, 1989;Frank, 1996;Patton, 1996;Zhang & Morris, 1996;Jain & Jain, 1997). Recent work on hybrid intelligent systems for diagnostic purposes includes research by, among others, Terpstra et al (1993), Rengaswamy and Venkatasubramanian (1993), Pfau-Wagenbauer and Nejdl (1993), Kordon and Dhurjati (1996), Shen and Hsu (1998), Heiming and Lunze (1998) and Norvilas et al (1998) where expert systems technology is combined with neural networks or signal information from sensors.…”

Section: Introductionmentioning

confidence: 99%

Integrating symbolic and numerical features for fault prediction and diagnosis by an expert system

Angeli

1999

Expert Systems

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This paper addresses the topic of a predictive task after integration of symbolic and numerical features by a hybrid diagnostic expert system. The online interaction of information and knowledge from various sources is achieved after successful combination of different development environments, tools and programs. The system infers using cooperatively dynamic modelling information, online sensor information, and stored knowledge in the knowledge base.

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