Soft-computing models for soot-blowing optimization in coal-fired utility boilers

Applied Soft Computing Journal

Volumn 11, Issue 2, 2011, Pages 1657-1668

  Pena B ^a   Teruel, E ^a   Diez L I ^a  

^a UNIVERSITY OF ZARAGOZA   (Spain)

Author keywords

ANFIS model; Artificial Neural Networks; Coal fired boilers; Intelligent soot blowing

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ANFIS MODEL; ARTIFICIAL NEURAL NETWORK; CLEANING DEVICES; COAL-FIRED UTILITIES; CONNECTION WEIGHTS; FLUX MEASUREMENTS; INPUT VARIABLES; INTELLIGENT SOOT-BLOWING; MONITORING SYSTEM; PERFORMANCE INDICES; POWER STATION; PREDICTIVE CONTROL; PROBABILISTIC MODELS; QUALITY OF PREDICTIONS; RELATIVE IMPORTANCE; SOOTBLOWING; STATISTICAL ANALYSIS; TEST DATA; THEORETICAL MODELS; UTILITY BOILER;

COAL; COAL INDUSTRY; DUST; EXPERT SYSTEMS; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; NONLINEAR FEEDBACK; OPTIMIZATION; PULVERIZED FUEL; PULVERIZED FUEL FIRED BOILERS; SOOT; WALLS (STRUCTURAL PARTITIONS);

COAL FIRED BOILERS;

EID: 78751615750     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2010.04.023     Document Type: Conference Paper

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