Detection and identification of ore grindability in a semiautogenous grinding circuit model using wavelet transform variances of measured variables

International Journal of Mineral Processing

Volumn 89, Issue 1-4, 2008, Pages 53-59

  Gonzalez, G D ^a   Miranda, D ^a   Casali, A ^a   Vallebuona, G ^a  

^a UNIVERSITY OF CHILE   (Chile)

Author keywords

Dynamic models; Principal component analysis; Semiautogenous grinding; Statistical methods; Wavelets

Indexed keywords

AUTOMATION; CONTROL SYSTEMS; CONTROL THEORY; DYNAMIC MODELS; ELECTRIC FAULT LOCATION; FAULT DETECTION; GRINDING (COMMINUTION); GRINDING (MACHINING); INFORMATION THEORY; ORES; PRINCIPAL COMPONENT ANALYSIS; SILICA; SILICATE MINERALS; STATISTICAL METHODS; WAVELET TRANSFORMS;

AND DETECTIONS; AUTOMATIC CONTROL SYSTEMS; CIRCUIT DYNAMICS; CONTINUOUS WAVELET TRANSFORMS; EQUILIBRIUM VALUES; FAULT IDENTIFICATIONS; GRINDABILITY; MINERAL PROCESSING PLANTS; RANDOM DISTURBANCES; REASONABLE TIMES; RESPONSE TIMES; SEMIAUTOGENOUS GRINDING; STATIONARY OPERATIONS; STEP CHANGES; WAVELETS;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 56249083897     PISSN: 03017516     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.minpro.2008.09.002     Document Type: Article

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