Intelligent Real-Time Control Systems to Predict the Particle Size of Minerals Using Acoustics of Ball Mill için kapak resmi
Başlık:
Intelligent Real-Time Control Systems to Predict the Particle Size of Minerals Using Acoustics of Ball Mill
Yazar:
Sil, Jaya. author.
ISBN:
9783031912900
Basım Bilgisi:
1st ed. 2025.
Fiziksel Tanımlama:
XXIV, 165 p. 86 illus., 65 illus. in color. online resource.
Seri:
Studies in Systems, Decision and Control, 600
Özet:
This book offers a single-resource reference on different analysis strategies of the ball mill acoustics. One of the major problems in the mining industry is the raw material wastage. The biggest challenge faced by the researchers is to install sensors to acquire meaningful data during the crushing operation due to huge dust and the presence of grinding media. The book aims to propose an intelligent system to predict the particle size distribution of the raw material in the closed-loop mill operation and stop the mill automatically by receiving the desired particle size ranges. The simulated results are validated with the experimental results, obtained from an instrumented lab-based ball mill. The acoustics of the running ball mill is considered as the key parameter which is a state of art in this field. This book will be useful for Researchers who work in the field of Digital signal processing.
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