On-line viscosity virtual sensor for optimizing the combustion in power plants

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6433 LNAI, Issue , 2010, Pages 463-472

  Ibargüengoytia, Pablo H ^a   Delgadillo, Miguel Angel ^a  

^a INSTITUTO DE INVESTIGACIONES ELÉCTRICAS   (Mexico)

Author keywords

Bayesian networks; fuel oil viscosity; learning; virtual sensors

Indexed keywords

ANALYTICAL MODEL; FUEL OIL VISCOSITY; FUEL VISCOSITY; LABORATORY ANALYSIS; LEARNING; ME-XICO; OIL VISCOSITY; PHYSICAL PRINCIPLES; PROBABILISTIC MODELS; REAL TIME; SENSOR FUSION; VERACRUZ; VIRTUAL SENSOR; CONSTRUCTION OF MODELS; PROBABILISTIC MODELING;

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; CHEMICAL ANALYSIS; CHEMICALS; COMBUSTION; DISTRIBUTED PARAMETER NETWORKS; FUEL OILS; FUELS; INFERENCE ENGINES; INTELLIGENT NETWORKS; LEARNING ALGORITHMS; MATHEMATICAL MODELS; OPTIMIZATION; POWER PLANTS; SENSORS;

VISCOSITY;

EID: 78650003015     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-16952-6_47     Document Type: Conference Paper

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