Soft-sensor for copper extraction process in cobalt hydrometallurgy based on adaptive hybrid model

Chemical Engineering Research and Design

Volumn 89, Issue 6, 2011, Pages 722-728

  Jia, Run da ^a   Mao, Zhi zhong ^a,b   Chang, Yu qing ^a,b   Zhao, Lu ping ^a  

^a NORTHEASTERN UNIVERSITY   (China)

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

Author keywords

Block wise recursive partial least squares; Cobalt hydrometallurgy; Copper extraction process; Hybrid model; Simplified first principle model

Indexed keywords

CONVENTIONAL MODELS; COPPER CONCENTRATION; COPPER EXTRACTION; COPPER EXTRACTION PROCESS; EXTRACTION PROCESS; FIRST PRINCIPLE MODELS; HYBRID MODEL; HYBRID MODELING; MATERIAL BALANCING; PLS MODELS; PREDICTION ACCURACY; PROCESS MONITORING AND CONTROL; RAFFINATES; RECURSIVE PARTIAL LEAST SQUARE; SIMPLIFIED FIRST PRINCIPLE MODEL; SOFT SENSORS; TIME VARIANT;

COBALT; COPPER; HYDROMETALLURGY; METALLURGY; PILOT PLANTS; PROCESS MONITORING; SENSORS;

PROCESS CONTROL;

EID: 79956309023     PISSN: 02638762     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cherd.2010.09.015     Document Type: Article

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