Online fuel tracking by combining principal component analysis and neural network techniques

IEEE Transactions on Instrumentation and Measurement

Volumn 54, Issue 4, 2005, Pages 1640-1645

  Xu, Lijun ^a,b   Yan, Yong ^a   Cornwell, Steve ^c   Riley, Gerry ^c  

^a UNIVERSITY OF KENT   (United Kingdom)

^b INSTITUTE OF CANCER RESEARCH   (United Kingdom)

^c RWE POWER AG   (Germany)

Author keywords

Feature extraction; Fuel identification; Fuel tracking; Neural network; Power station; Principal component analysis

Indexed keywords

BACKPROPAGATION; COMBUSTION; FEATURE EXTRACTION; FREQUENCY DOMAIN ANALYSIS; NEURAL NETWORKS; PHOTODIODES; PRINCIPAL COMPONENT ANALYSIS; PULVERIZED FUEL; TIME DOMAIN ANALYSIS;

FUEL IDENTIFICATION; FUEL TRACKING; ONLINE IDENTIFICATION;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 23344452284     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2005.851203     Document Type: Article

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