Rule-based operator decision support for grinding circuit
control

QR Code

Rule-based operator decision support for grinding circuit control

This work investigated the application of interpretable machine learning methods for process control in the mineral processing industry. The thesis presents a methodology to extract intelligible rules from grinding circuit data using decision tree algorithms. The rule sets can aid process operators...

Full description

Bibliographic Details
Main Author:	Olivier, Jacques
Format:	Thesis
Published:	Curtin University 2021
Online Access:	http://hdl.handle.net/20.500.11937/86213

Similar Items

Statistical monitoring of a grinding circuit: An industrial case study
by: de V. Groenewald, J., et al.
Published: (2006)

A review of the effects of grinding media and chemical conditions on the flotation of pyrite in refractory gold operations
by: Rabieh, Alireza, et al.
Published: (2016)

Effect of Grinding Operation on Product Morphology in Stirred Mills
by: Roufaill, Reem, et al.
Published: (2011)

Mathematical modeling of surface roughness in surface grinding operation
by: Mohamad, Ahmad Kamely, et al.
Published: (2011)

Mathematical modeling of surface roughness in surface grinding operation
by: Mohamad, Ahmad Kamely, et al.
Published: (2011)

Prediction of grinding machanability when grinds Haynes 242 using water based coolant
by: Hazwani, Sidik
Published: (2012)

Prediction of grinding machinability when grind aluminium alloy using water based coolant
by: Jamilah, Mustafha
Published: (2012)

Parameter optimization of a cylindrical grinding operation for the quality of surface finish
by: Mohd Asrul, Abu Bakar
Published: (2010)

Effect of grinding process parameters on grinding force of aluminium alloys
by: Alexius, An'yan
Published: (2008)

Influence of grinding media and water quality on flotation performance of gold bearing pyrite
by: Rabieh, Alireza, et al.
Published: (2017)

Prediction of grinding machinability when grind aluminium alloy using water based zinc oxide nanocoolant
by: Suganthi, Jayaraman
Published: (2012)

An experimental study on precision grinding of silicon using diamond grinding pins
by: Alao, Abdur-Rasheed, et al.
Published: (2011)

Galvanic interaction of grinding media with arsenopyrite and pyrite and its effect on gold cyanide leaching
by: Rabieh, Alireza, et al.
Published: (2017)

Prediction of Grinding Machinability when Grind P20 Tool Steel Using Water Based Zno Nano-Coolant
by: K., Kadirgama, et al.
Published: (2014)

Analysis on the Grinding Quality of Palm Oil Fibers By Using A Combined Grinding Equipment
by: Gan, Leong Ming, et al.
Published: (2015)

Decision Based Fuzzy Rules for RFID Implementation in Supply Chain Management
by: Al Hazza, Muataz Hazza Faizi, et al.
Published: (2014)

Learning pathway-based decision rules to classify microarray cancer samples
by: Glaab, Enrico, et al.
Published: (2010)

Improving Process Operations Using Support Vector Machines and Decision Trees
by: Jemwa, G., et al.
Published: (2005)

Decision support system for optimizing field operation of selected tillage implements
by: Al-Shakarchi, Haider Fawzi Mahmood
Published: (2019)

Prediction of grinding machinability when grind P20 tool steel using water based ZnO nano-coolant
by: Yogeswaran, Muthusamy
Published: (2012)

Optimization of grinding parameter when grind haynes 242 using water based titanium oxide (TiO2) nanocoolant
by: Sangeetha, Govindasamy
Published: (2012)

Prediction of grinding machinability when grind P20 tool steel using water based ZnO nano-coolant
by: Yogeswaran, Muthusamy
Published: (2012)

Dressing tools with controlled abrasive grain population for grinding aerospace materials
by: Spampinato, Alessio
Published: (2018)

In-process truing for ELID (Electrolytic In-Process Dressing) grinding by pulsewidth control
by: Saleh, Tanveer, et al.
Published: (2011)

Dynamically controlled fibrillation under combination of ionic liquid with mechanical grinding
by: Eksiler, Kubra, et al.
Published: (2017)

Fluoride based control of Ca and Mg concentrations in high ionic strength base metal sulphate solutions in hydrometallurgical circuits
by: Geogalli, G., et al.
Published: (2008)

Investigation of surface integrity during precision grinding of silicon carbide using diamond grinding pins
by: Mohamed , Konneh, et al.
Published: (2011)

Clinical Spasticity Assessment Assisted by Machine Learning Methods and Rule-Based Decision
by: Jingye Yee, Jingye Yee, et al.
Published: (2023)

Clinical Spasticity Assessment Assisted by Machine Learning Methods and Rule-Based Decision
by: Jingye Yee, Jingye Yee, et al.
Published: (2023)

Clinical Spasticity Assessment Assisted by Machine Learning Methods and Rule-Based Decision
by: Jingye Yee, Jingye Yee, et al.
Published: (2023)

Clinical Spasticity Assessment Assisted by Machine Learning Methods and Rule-Based Decision
by: Jingye Yee, Jingye Yee, et al.
Published: (2023)

Decision support system for optimal design and operation of ponds for watershed runoff management
by: Al-Ansi, Abdulwahab Mujahed Hasan
Published: (2010)

Efficient dressing of the wheel in ELID grinding by controllable voltage with force feed back
by: Saleh, Tanveer, et al.
Published: (2010)

Wee To Base Decision On Views Of Supporters
by: The Star,
Published: (2008)

Rule acquisition and complexity reduction in formal decision contexts
by: Shao, M., et al.
Published: (2014)

Precision surface grinding of silicon carbide
by: Konneh, Mohamed
Published: (2016)

ELID grinding and EDM for finish machining
by: Saleh, Tanveer, et al.
Published: (2017)

Multiscale Methods for the Flow During Grinding
by: Crowson, Zakhary
Published: (2023)

Grinding using cold air cooling
by: Boswell, Brian, et al.
Published: (2016)

Nanofluid as coolant for grinding process: An overview
by: Kananathan, Jeeven, et al.
Published: (2018)

Cannot write session to /tmp/vufind_sessions/sess_0eduru6of32oadbbc90nt9mp7b