About this document
Local Dynamic Models for Flotation Sensors by Euracio Mella is a document available to read on EtoBox.
This document discusses developing local dynamic models to model concentrate grade in a rougher flotation bank. Several classes of models are considered, including nonlinear ARMAX, Takagi-Sugeno fuzzy, fuzzy combinational, projection on latent states (PLS), wavelet-based, and multilayer perceptron models. These models are identified using operational data from a copper flotation plant. The data is first analyzed to detect sensor failures and repair measurements. Models are determined using an identification
- Author
- Euracio Mella
- Language
- EN