PREDICTION OF PARTICLE SIZE DISTRIBUTION OF A BALL MILL USING IMPROVISED NEURAL NETWORK TECHNIQUE AND TIME SERIES
DOI:
https://doi.org/10.23055/ijietap.2021.28.3.6423Keywords:
Industrial Simulation, Predictive crushing, acoustics, Neural Network, envelope, Kernel Density, Gaussian Equation.Abstract
In the mining industry, it is important to minimize the wastage of raw materials while achieving the desired particle size distribution by grinding the original input mix. To date, the procedure is performed manually, and there is no such control mechanism for grinding that reduces wastage to achieve the desired output, resulting in the loss of material. This study aims to develop an autonomous system for predicting the desired states of breakage by analyzing the acoustic signatures of the materials being crushed. The signal envelope is detected from the time-series acoustic data, which changed gradually during grinding. We designed an autoregression model using the signal envelopes of different grinding stages to predict the desired particle size. In another scenario, the acoustic signatures are approximated to a Gaussian distribution, and the kernel density estimation function is applied to obtain the best-fitted observed data points with the help of local points. An improvised neural network technique is used to classify the unknown patterns of crushing at different breakage states, which validates the experimental results. The network is trained with the input patterns corresponding to the observed data points and the output of the autoregression model. The prediction accuracy of the proposed approach is approximately 97%.
Published
Versions
- 2021-12-02 (2)
- 2021-11-26 (1)
How to Cite
Issue
Section
License
The Author(s) must formally transfer each article's copyright before publication in the INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING. Such transfer enables the Journal to defend itself against plagiarism and other forms of copyright infringement. Your cooperation is appreciated.
You agree that the copyright of your article to be published in the INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING - THEORY, APPLICATIONS, AND PRACTICE is hereby transferred, throughout the World and for the full term and all extensions and renewals thereof, to INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING - THEORY, APPLICATIONS, AND PRACTICE.
The Author(s) reserve(s): (a) the trademark rights and patent rights, if any, and (b) the right to use all or part of the information contained in this article in future, non-commercial works of the Author's own, or, if the article is a "work-for-hire" and made within the scope of the Author's employment, the employer may use all or part of the information contained in this article for intra-company use, provided the usual acknowledgments are given regarding copyright notice and reference to the original publication.
The Author(s) warrant(s) that the article is Author's original work and has not been published before. If excerpts from copyrighted works are included, the Author will obtain written permission from the copyright owners and credit the article's sources.
The author also warrants that the article contains no libelous or unlawful statements and does not infringe on the rights of others. If the article was prepared jointly with other Author(s), the Author agrees to inform the co-Author(s) of the terms of the copyright transfer and to sign on their behalf; or in the case of a "work-for-hire," the employer or an authorized representative of the employer.
The journal does not provide the author copy of the final paper when it is published. The author(s) can make(s) a subscription to INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING - THEORY, APPLICATIONS, AND PRACTICE if they want to get the final paper that has already been published.
The journal is registered with the Library of Congress (ISSN # 1943-670X). All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of the journal.
The author reserves patent and trademark rights and the right to use all or part of the information contained in the article in future non-commercial works.
