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Journal ArticleDOI

Modeling and Simulation of Whole Ball Mill Grinding Plant for Integrated Control

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TLDR
This paper introduces the development and implementation of a ball mill grinding circuit simulator, NEUSimMill, designed to be used for the test and verification of grinding process control system including advanced control system such as integrated control.
Abstract
This paper introduces the development and implementation of a ball mill grinding circuit simulator, NEUSimMill. Compared to the existing simulators in this field which focus on process flowsheeting, NEUSimMill is designed to be used for the test and verification of grinding process control system including advanced control system such as integrated control. The simulator implements the dynamic ball mill grinding model which formulates the dynamic responses of the process variables and the product particle size distribution to disturbances and control behaviors as well. First principles models have been used in conjunction with heuristic inference tools such as fuzzy logic and artificial neural networks: giving rise to a hybrid intelligent model which is valid across a large operating range. The model building in the simulator adopts a novel modular-based approach which is made possible by the dynamic sequential solving approach. The simulator can be initiated with connection to a real controller to track the plant state and display in real-time the effect of various changes on the simulated plant. The simulation model and its implementation is verified and validated through a case of application to the design, development, and deployment of optimal setting control system.

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Citations
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Journal ArticleDOI

Data-Driven Optimization Control for Safety Operation of Hematite Grinding Process

TL;DR: Experiments have been carried out in a self-developed hardware-in-the-loop experiment system with actual data, demonstrating that the proposed method cannot only keep the HGP operation from mill overload fault but also achieve the optimization control with respect to the quadratic performance index of GPS deviation.
Journal ArticleDOI

Particle size estimate of grinding processes using random vector functional link networks with improved robustness

TL;DR: A hybrid PS model, which is composed of a mechanism model and a random vector functional link network (RVFLN)-based compensation model is proposed to improve the performance and incorporate a kernel density estimation based weighted least squares method into the RVFLN to propose a robust data modeling approach.
Journal ArticleDOI

A Novel Method of Building Functional Brain Network Using Deep Learning Algorithm with Application in Proficiency Detection

TL;DR: A novel semi-data-driven method of computing functional brain connection based on stacked autoencoder (BCSAE) is proposed, which has a multi-layered structure and is semi-supervised, which means it can dig deeper information and generate better features.
Journal ArticleDOI

Operational Control of Mineral Grinding Processes Using Adaptive Dynamic Programming and Reference Governor

TL;DR: Simulation results comparing performances of a mineral grinding process with and without the reference governor show the effectiveness of the proposed data-driven method for operational control design of mineral grinding processes with input constraints.
Journal ArticleDOI

Survey on higher-level advanced control for grinding circuits operation

TL;DR: A comprehensive and systematic review on the available methods and technologies of higher-level grinding advanced control is given in this paper, where the focus is on the approach of data and knowledge based hybrid intelligent advanced feedback control.
References
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Journal ArticleDOI

Verification and validation of simulation models

TL;DR: Three approaches to deciding model validity are described, two paradigms that relate verification and validation to the model development process are presented, and various validation techniques are defined.
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Modeling and Simulation

TL;DR: This book provides an introduction and comprehensive reference to modeling and simulation techniques using computers and emphasizes applications in economics and the environmental sciences and contains a disk with simulation software (SIMPAS) and 50 system models.
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TL;DR: The Wills' Mineral Processing Technology as mentioned in this paper provides practitioners and students of mineral processing, metallurgy and mining with a review of all of the common ore-processing techniques utilized in modern processing installations.
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An Introduction to Mineral Sciences

Andrew Putnis
TL;DR: In this article, the crystal structure of minerals is described and the transformation processes in minerals I: exsolution and structural phase transitions are described. But the analysis is limited to the case of silicates.
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