Advanced Control and Supervision of Mineral Processing Plants

Author:   Daniel Sbárbaro ,  René Del Villar
Publisher:   Springer London Ltd
Edition:   2010 ed.
ISBN:  

9781447125853


Pages:   312
Publication Date:   05 November 2012
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Advanced Control and Supervision of Mineral Processing Plants


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Overview

Advanced Control and Supervision of Mineral Processing Plants describes the use of dynamic models of mineral processing equipment in the design of control, data reconciliation and soft-sensing schemes; through examples, it illustrates tools integrating simulation and control system design for comminuting circuits and flotation columns. Coverage is given to the design of soft sensors based on either single-point measurements or more complex measurements like images. Issues concerning data reconciliation and its employment in the creation of instrument architecture and fault diagnosis are surveyed. In consideration of the widespread use of distributed control and information management systems in mineral processing, the book describes the platforms and toolkits available for implementing such systems. Applications of the techniques described in real plants are used to highlight their benefits; information for all of the examples, together with supporting MATLAB® code can be found at www.springer.com/978-1-84996-105-9.

Full Product Details

Author:   Daniel Sbárbaro ,  René Del Villar
Publisher:   Springer London Ltd
Imprint:   Springer London Ltd
Edition:   2010 ed.
Dimensions:   Width: 15.50cm , Height: 2.00cm , Length: 23.50cm
Weight:   0.510kg
ISBN:  

9781447125853


ISBN 10:   1447125851
Pages:   312
Publication Date:   05 November 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Process Observers and Data Reconciliation Using Mass and Energy Balance Equations.- Multivariate Image Analysis in Mineral Processing.- Soft Sensing.- Dynamic Simulation and Model-based Control System Design for Comminution Circuits.- Automatic Control of Flotation Columns.- Industrial Products for Advanced Control of Mineral Processing Plants.    

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