NDLI: Hybrid modeling of froth flotation superficial appearance applying dynamic textures analysis

Content Provider	IEEE Xplore Digital Library
Author	Nunez, F. Cipriano, A.
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. Eng., Pontificia Univ. Catolica de Chile, Santiago (Nunez, F.; Cipriano, A.)
Abstract	Flotation is one of the most complex processes in mining industry. In fact, non linear characteristics, large delays, significant disturbances and important unmeasurable variables make the process very difficult for automatic control. However, experimented operators are able to take adequate control actions based on superficial froth appearance by defining several operational states. To ensure the obtaining of technical and economical benefits, it is necessary to better identify different operational states from the froth superficial appearance. In this work we propose a hybrid characterization of the froth surface applying dynamic texture techniques and texture classification. Results show that the models obtained represent accurately the froth dynamics and our detection algorithm is able to detect efficiently different froth operational states.
Starting Page	117
Ending Page	121
File Size	594467
Page Count	5
File Format	PDF
ISBN	9787900719706
DOI	10.1109/CHICC.2008.4605613
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute Of Intelligence M&C Technical Of KMUST
Subject Keyword	Dynamic textures Biological system modeling Computational modeling Process control Predictive models ARMA models Hybrid systems Distance measurement Minerals Kernel Froth flotation
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Development and Validation of a Dynamic Model for Flotation Predictive Control Incorporating Froth Physics

Analysis of flotation froth appearance by design of experiments.

Hybrid model predictive control of induction of Escherichia coli

Non linear predictive control algorithm based on Laguerre-Volterra models

Control of Constrained Hybrid Systems: Mixed Integer Predictive Algorithm with Dynamic Control Horizon

Predictive control of a bioprocess - A hybrid approach

Hybrid modeling and predictive control for hydrometallurgical processes

Bayesian estimation of dynamic systems function expansions

Optimization and Control of Batch Chemical Processes

Hybrid modeling of froth flotation superficial appearance applying dynamic textures analysis

Similar Documents

Development and Validation of a Dynamic Model for Flotation Predictive Control Incorporating Froth Physics

Analysis of flotation froth appearance by design of experiments.

Hybrid model predictive control of induction of Escherichia coli

Non linear predictive control algorithm based on Laguerre-Volterra models

Control of Constrained Hybrid Systems: Mixed Integer Predictive Algorithm with Dynamic Control Horizon

Predictive control of a bioprocess - A hybrid approach

Hybrid modeling and predictive control for hydrometallurgical processes

Bayesian estimation of dynamic systems function expansions

Optimization and Control of Batch Chemical Processes

Hybrid modeling of froth flotation superficial appearance applying dynamic textures analysis