Digital filter implementation: an alternative to improve the estimation of the level of balls in mills used in the mining industry
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Universidade Federal de Minas Gerais
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Ball 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.
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Indústria de Mineração, Minas e mineração
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Metodología híbrida para la estimación del nivel de llenado en un molino de bolas, Filter Design for Signal Processing Using Matlab and Mathematica, Acoustic Vibration Signal Processing and Analysis in Ball Mill, Characterization of best Chebychev approximation using the frequency response of IIR digital filters with convex stability, Estimation , IIR filters , Companies , Mathematical models , Proposals , Digital filters , Mining industry, Chebyshev filter , IIR digital filters , Low pass filter , Mineral grinding process , Semi-autogenous mill, Estimation 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
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https://ieeexplore.ieee.org/document/10401392