Intelligent Real-Time Control Systems to Predict the Particle Size of Minerals Using Acoustics of Ball Mill
ebook ∣ Studies in Systems, Decision and Control
By Jaya Sil
Sign up to save your library
With an OverDrive account, you can save your favorite libraries for at-a-glance information about availability. Find out more about OverDrive accounts.
Find this title in Libby, the library reading app by OverDrive.

Search for a digital library with this title
Title found at these libraries:
Library Name | Distance |
---|---|
Loading... |
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.