Flame image-based burning state recognition for sintering process of rotary kiln using heterogeneous features and fuzzy integral

IEEE Transactions on Industrial Informatics

Volumn 8, Issue 4, 2012, Pages 780-790

  Li, Weitao ^a   Wang, Dianhui ^a,b   Chai, Tianyou ^a  

^a STATE KEY LABORATORY OF SYNTHETICAL AUTOMATION FOR PROCESS INDUSTRIES   (China)

^b LA TROBE UNIVERSITY   (Australia)

Author keywords

Burning state recognition; ensemble models; fuzzy integral; heterogeneous features; neural networks (NNs) classifiers

Indexed keywords

BASE CLASSIFIERS; COLOR FEATURES; ENSEMBLE MODELS; FLAME IMAGES; FUSION OPERATOR; FUSION TECHNIQUES; FUZZY INTEGRAL; HETEROGENEOUS FEATURES; IMAGE-BASED; LEARNER MODEL; LOCAL CONFIGURATIONS; OPERATIONAL EXPERTS; PIXEL VALUES; RECOGNITION ACCURACY; ROBUST RECOGNITION; SINTERING PROCESS; STATE RECOGNITION;

ALUMINUM; INTEGRAL EQUATIONS; ROTARY KILNS; SINTERING; STATE ESTIMATION;

IMAGE SEGMENTATION;

EID: 84867960612     PISSN: 15513203     EISSN: None     Source Type: Journal    
DOI: 10.1109/TII.2012.2189224     Document Type: Article

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