An architecture for online diagnosis of gas turbines

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2527, Issue , 2002, Pages 795-804

  De Jesús González Noriega, Luis ^a   Ibargüengoytia, Pablo H ^a  

^a INSTITUTO DE INVESTIGACIONES ELÉCTRICAS   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

ABNORMAL BEHAVIOR; ABNORMAL CONDITIONS; DIAGNOSIS SYSTEMS; GENERAL PURPOSE; INDUSTRIAL SYSTEMS; ON-LINE DIAGNOSIS; PROBABILISTIC REASONING; REAL APPLICATIONS; REAL-TIME ENVIRONMENT; ROOT CAUSE;

ARCHITECTURE; ARTIFICIAL INTELLIGENCE; COMBINED CYCLE POWER PLANTS; GAS PLANTS; GAS TURBINES; TURBOMACHINERY; PROBABILISTIC LOGICS;

NETWORK ARCHITECTURE; GAS TURBINES;

EID: 79952255974     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-36131-6_81     Document Type: Conference Paper

References (4)

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3. P.H. Ibargüengoytia, L.E. Sucar, and S. Vadera. Any time probabilistic reasoning for sensor validation. In G.F. Cooper and S. Moral, editors, Proc. Fourteenth Conference on Uncertainty in Artificial Intelligence UAI-98, pages 266-273, Madison, Wisconsin, U.S.A., 1998.
4. J. Pearl. Probabilistic reasoning in intelligent systems: networks of plausible inference. Morgan Kaufmann, Palo Alto, Calif., U.S.A., 1988.