Analysis of Industrial Grinding Circuits using PCA, PLS and Neural Networks

Tutkimustuotos: Lehtiartikkelivertaisarvioitu

Tutkijat

Organisaatiot

Kuvaus

The use of variable rotation speed control in mineral grinding circuits is continuously increasing. High precision on-line particle size distribution measurement of the grinding product has also recently become available. These tools have increased the potential for the development of monitoring and optimization methods for grinding circuits. This paper presents some experiments to evaluate the effect of mill operating variables on the particle size distribution of the circuit product. In the evaluation the PCA, PLS and neural networks methods were used for analyzing industrial experiment data. The experiments have been carried out at the Kemi chromite concentrator plant of Outokumpu Chrome in northern Finland.

Yksityiskohdat

AlkuperäiskieliEnglanti
Sivut109-114
JulkaisuIFAC PROCEEDINGS VOLUMES
Vuosikerta39
Numero22
TilaJulkaistu - 2006
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaIFAC Workshop on Automation in Mining, Mineral and Metal Industry - Cracow, Puola
Kesto: 20 syyskuuta 200622 syyskuuta 2006

    Tutkimusalat

  • Mineral grinding, particle size analysis, process monitoring, chromite concentration, gravity separation

ID: 36368180