ECONOMICAL EFFECTS OF ON-LINE ELEMENTAL ANALYSIS PERFORMANCE ON FLOTATION CONTROL

Cipriano, 1998, A real time visual sensor for supervision of flotation cells, Minerals Engineering, 11, 489, 10.1016/S0892-6875(98)00031-4 Hasu, V. (1999). Design of Experiments in Analysis of Flotation Froth Appearance. Report 114, Control Engineering Laboratory, Helsinki University of Technology Hätönen, J. (1999). Image Analysis in Mineral Flotation. Report 116, Control Engineering Laboratory, Helsinki University of Technology Kaartinen, J. (2000). Data acquisition and analysis system for mineral flotation. Report 126, Control Engineering Laboratory, Helsinki University of Technology Miettunen, J., Kaartinen, J. and Hätönen, J. (2001). Image analysis based control of zinc flotation, Regional APCOM 2001, Tampere, Finland, 3-5 September, 2001. Helsinki University of Technology, Rock Engineering, Finland 2001, Helsinki University of Technology, pp. 267-275 Moolman, 1995, The interpretation of flotation froth surfaces by using digital image analysis and neural networks, Chem. Eng. Sci., 50, 3501, 10.1016/0009-2509(95)00190-G Symonds, 1992, A technique for automatically segmenting images of the surface froth structures that are prevalent in industrial flotation cells, In Proceedings of the 1992 South African Symposium on Communications and Signal Processing, Rondebosch, 111, 10.1109/COMSIG.1992.274302