Digital filter implementation: an alternative to improve the estimation of the level of balls in mills used in the mining industry

Página do item simplificado
dc.creatorEsbany Lanchipa Sánchez
dc.creatorJulio López Seguel
dc.creatorSeleme Isaac Seleme Jr
dc.creatorLenin Martins Ferreira Morais
dc.date.accessioned2025-06-03T14:14:26Z
dc.date.accessioned2025-09-09T00:29:15Z
dc.date.available2025-06-03T14:14:26Z
dc.date.issued2023
dc.identifier.doihttps://doi.org/10.1109/CIYCEE59789.2023.10401392
dc.identifier.urihttps://hdl.handle.net/1843/82735
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartof4th China International Youth Conference On Electrical Engineering (CIYCEE)
dc.rightsAcesso Aberto
dc.subjectIndústria de Mineração
dc.subjectMinas e mineração
dc.subject.otherMetodología híbrida para la estimación del nivel de llenado en un molino de bolas
dc.subject.otherFilter Design for Signal Processing Using Matlab and Mathematica
dc.subject.otherAcoustic Vibration Signal Processing and Analysis in Ball Mill
dc.subject.otherCharacterization of best Chebychev approximation using the frequency response of IIR digital filters with convex stability
dc.subject.otherEstimation , IIR filters , Companies , Mathematical models , Proposals , Digital filters , Mining industry
dc.subject.otherChebyshev filter , IIR digital filters , Low pass filter , Mineral grinding process , Semi-autogenous mill
dc.subject.otherEstimation Of Levels , Mining Industry , Digital Filter , Estimation Error , Low Efficiency , Noise Sources , Impulse Response , Filter Design , Steel Ball , Infinite Impulse Response , Average Percentage Error , Infinite Impulse Response Filter , Low-pass , Discrete-time , Transfer Function , Fast Fourier Transform , Physical Measures , Frequency Components , Application Of Filter , Daily Estimates , Grinding Process , Finite Impulse Response , Copper Production , Finite Impulse Response Filter , Irregular Intervals
dc.titleDigital filter implementation: an alternative to improve the estimation of the level of balls in mills used in the mining industry
dc.typeArtigo de evento
local.citation.spage1
local.description.resumoBall mills are normally used for grinding in the mining industry. The grinding operation is characterized by high energy consumption and low efficiency. This inefficiency lies mainly in the difficulty in identifying the level of steel balls inside the mill, which is essential to operate the mill at its optimal filling point. This work presents an alternative to enhance the existing ball level estimation model for semi-autogenous mills at the Doña Inés de Collahuasi mining company. The proposed approach corrects the model by employing a digital filter, which attenuates the deviations attributable to intrinsic noise sources in the current procedure. To validate the proposal, a Chebyshev type I infinite impulse response filter designed from the tools available in Matlab was implemented and tested using real plant data. The results obtained validate the proposal presented. The filter managed to reduce the average percentage error in the ball level estimation.
local.publisher.countryBrasil
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELÉTRICA
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA
local.publisher.initialsUFMG
local.url.externahttps://ieeexplore.ieee.org/document/10401392

Arquivos

Licença do pacote

Agora exibindo 1 - 1 de 1
Imagem de Miniatura
Nome:
License.txt
Tamanho:
1.99 KB
Formato:
Plain Text
Descrição:
Baixar

Coleções

Artigo de Evento

Logo UFMG