Statistical monitoring of a grinding circuit: An industrial case study

QR Code

Statistical monitoring of a grinding circuit: An industrial case study

With the increasing availability of large amounts of real-time process data and a better fundamental understanding of the operation of mineral processing units, statistical monitoring of mineral processing plants is becoming increasingly widespread. Process plants are typically too complex to model...

Full description

Bibliographic Details
Main Authors:	de V. Groenewald, J., Coetzer, L., Aldrich, Chris
Format:	Journal Article
Published:	Elsevier 2006
Subjects:	Comminution Process control Flotation Mineral processing
Online Access:	http://hdl.handle.net/20.500.11937/40785

Similar Items

Kernel-based fault diagnosis on mineral processing plants
by: Gorden, T., et al.
Published: (2006)

The effect of microwave pretreatment on the liberation of a copper carbonate ore after milling
by: Scott, G., et al.
Published: (2008)

Monitoring of mineral processing systems by using textural image analysis
by: Aldrich, Chris, et al.
Published: (2013)

Process data visualisation with biplots
by: Gardner, S., et al.
Published: (2005)

Online monitoring and control of froth flotation systems with machine vision:A review
by: Aldrich, Chris, et al.
Published: (2010)

Fine Grinding in a Horizontal Ball Mill
by: Partyka, Trish, et al.
Published: (2007)

Detecting change in dynamic process systems with immunocomputing
by: Yang, X., et al.
Published: (2007)

Development of a laboratory test to characterise the behaviour of free gold for use in a combined flash flotation and gravity concentrator model
by: McGrath, Teresa, et al.
Published: (2013)

A review on process-related characteristics of pyrrhotite
by: Wang, Haipeng
Published: (2008)

Interpretation of nonlinear relationships between process variables by use of random forests
by: Auret, L., et al.
Published: (2012)

The Relationship between Froth Image Features and Platinum Flotation Grade
by: Marais, C., et al.
Published: (2010)

Monitoring of Mineral Processing Operations based on Multivariate Similarity Indices
by: Auret, L., et al.
Published: (2011)

Visualization of the controller states of an autogenous mill from time series data
by: Aldrich, Chris, et al.
Published: (2014)

Optimisation of the lance injection desulphurisation of molten iron using dynamic modelling
by: Scheepers, E., et al.
Published: (2006)

Analysis of electrochemical noise with phase space methods.
by: Aldrich, Chris, et al.
Published: (2006)

Statistical Process Control Analysis
by: Sheikh Abdul Kadir Hagi, Ibrahim
Published: (1999)

Increasing the grind size for effective liberation and flotation of a porphyry copper ore by microwave treatment
by: Batchelor, A.R., et al.
Published: (2016)

Deriving the ideal ore texture for microwave treatment of metalliferous ores
by: Batchelor, A.R., et al.
Published: (2015)

Optimising control of coal flotation by neuro-immune algorithm
by: Aldrich, Chris, et al.
Published: (2013)

Advancing electrochemical jet machining through process monitoring and control
by: Bisterov, Ivan
Published: (2023)

The estimation of platinum flotation grade from froth image features by using artificial neural networks
by: Marais, C., et al.
Published: (2011)

Estimation of platinum flotation grades from froth image data
by: Marais, C., et al.
Published: (2011)

An investigation into the effectiveness of statistical process control techniques, with management data from a product development environment
by: Julien, Denyse
Published: (1998)

The behaviour of free gold particles in a simulated flash flotation environment
by: McGrath, Teresa, et al.
Published: (2015)

Recent Advances in Flotation Froth Image Analysis
by: Aldrich, Chris, et al.
Published: (2022)

Statistical process control readiness in the food industry: development of a self-assessment tool
by: Abdul Halim Lim, Sarina, et al.
Published: (2016)

Simulation and implementation of nonlinear control systems for mineral processes
by: Kam, Kiew M.
Published: (2000)

Mineral status in canine medial coronoid process disease: a cohort study using analysis of hair by mass spectrometry
by: Davies, M., et al.
Published: (2017)

The Feasibility of Applying Virtual Reality Simulation to the Coal Mining Operations
by: Stothard, Phillip
Published: (2003)

Density-based separation innovations in coal and minerals processing applications
by: Honaker, R., et al.
Published: (2013)

Automatic control of flotation process using computer vision
by: Saravani, Ali Jahed
Published: (2015)

Effect of Preconditioning on the Flotation of Coal
by: Feng, D., et al.
Published: (2005)

Root cause analysis of process fault conditions on an industrial concentrator circuit by use of causality maps and extreme learning machines
by: Groenewald, J., et al.
Published: (2015)

In-process monitoring of powder bed fusion with fringe projection
by: Southon, Nicholas Edward
Published: (2020)

Understanding the influence of mineralogy and microwave energy input on the microwave treatment of copper ores
by: Ure, Alexander David
Published: (2017)

Modelling of biomass milling
by: Newbolt, Gary S.
Published: (2018)

Towards large scale microwave treatment of ores: Part 2 - Metallurgical testing
by: Batchelor, A.R., et al.
Published: (2017)

Monitoring of an industrial liquid–liquid extraction system with kernel-based methods
by: Jemwa, G., et al.
Published: (2005)

Parametric and Semiparametric Competing Risks Models for Statistical Process Control with Reliability Analysis
by: Mohamed Elfaki, Faiz Ahmed
Published: (2004)

Neurocontrol of a multi-effect batch distillation pilot plant based on evolutionary reinforcement learning
by: Conradie, A., et al.
Published: (2010)

Cannot write session to /tmp/vufind_sessions/sess_r6ua9bp9jsdvjd430jvj4u957u