Effective control of rougher flotation is important because a small increase in recovery
results in a significant economic benefit. Although many flotation control strategies have …

This paper presents a real-time image analysis system that was installed at a phosphorus
oxide flotation process. The focus of the image analysis system is to effectively estimate …

The froth phase is one of the main components of froth flotation as it defines both the quality
of the end product and overall efficiency. The performance of the froth depends on a number …

Machine vision has been proposed as an ideal non-intrusive instrument to obtain
meaningful information relating to the performance of the froth phase of flotation for the …

Computer vision-based control is a nonintrusive, cost-effective, and reliable technique for
flotation process control. It is known that deep learning features can depict the complex …

With the rapid development of deep neural network (DNN), many DNN-based models for
performance monitoring have been developed recently. However, some challenges still …

It is widely accepted that the implementation of model-based predictive controllers (MPC)
ensures optimal operation if an accurate model of the process is available. In the case of …

Abstract Machine vision and machine learning have been researched widely in froth
flotation and the technology continues to benefit from advances in computer technology. The …

A multi layered, feed forward Artificial Neural Network (ANN) was used to study the effect of
feed mean size, collector dosage and impeller speed on flotation recovery and grade. The …

Flotation is a conceptually simple operation; however, as a multiphase process with inherent
instability, it exhibits complex dynamics. One of the most efficient ways to increase flotation …