Eigen-flame image-based robust recognition of burning states for sintering process control of rotary kiln

Proceedings of the IEEE Conference on Decision and Control

Volumn , Issue , 2009, Pages 398-403

  Li, Weitao ^a   Mao, Kezhi ^b   Zhou, Xiaojie ^a   Chai, Tianyou ^a   Zhang, Hong ^c  

^a KEY LABORATORY OF INTEGRATED AUTOMATION OF PROCESS INDUSTRY   (China)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^c UNIVERSITY OF ALBERTA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ENERGY UTILIZATION; IMAGE CLASSIFICATION; IMAGE ENHANCEMENT; IMAGE SEGMENTATION; OPTICAL CHARACTER RECOGNITION; ROTARY KILNS; SINTERING;

CRITICAL ISSUES; HIGHER YIELD; HYBRID CONTROL SYSTEMS; LOWER ENERGIES; PROBABILISTIC NEURAL NETWORKS; RECOGNITION ACCURACY; ROBUST RECOGNITION; SINTERING PROCESS;

PROCESS CONTROL;

EID: 77950852299     PISSN: 07431546     EISSN: 25762370     Source Type: Conference Proceeding    
DOI: 10.1109/CDC.2009.5400123     Document Type: Conference Paper

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