Support vector machine based online coal identification through advanced flame monitoring

Fuel

Volumn 117, Issue PARTB, 2014, Pages 944-951

  Zhou, Hao ^a   Tang, Qi ^a   Yang, Linbin ^a   Yan, Yong ^b   Lu, Gang ^b   Cen, Kefa ^a  

^a ZHEJIANG UNIVERSITY   (China)

^b UNIVERSITY OF KENT   (United Kingdom)

Author keywords

Coal identification; Feature extraction; Flame monitoring; SVM

Indexed keywords

COAL FIRED BOILERS; FEATURE EXTRACTION; FLOW RATE; FORECASTING; SUPPORT VECTOR MACHINES;

COAL COMBUSTION FURNACES; COMBUSTION CONDITION; FLAME MONITORING; FLAME MONITORING SYSTEMS; INFRARED SIGNAL; LIGHT INTENSITY SIGNALS; PREDICTION ACCURACY; SVM;

COAL;

EID: 84896531630     PISSN: 00162361     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fuel.2013.10.041     Document Type: Article

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