東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

Intelligent real-time control systems to predict the particle size of minerals using acoustics of ball mill

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Intelligent real-time control systems to predict the particle size of minerals using acoustics of ball mill/ by Jaya Sil, Arup Kumar Bhaumik, Sonali Sen.
作者:	Sil, Jaya.
其他作者:	Bhaumik, Arup Kumar.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xxiv, 165 p. :ill. (chiefly color), digital ;24 cm.
內容註:	1.Introduction and Preliminaries -- 2.Ball Mill Acoustics and Analysis -- 3.Particle Size Analysis and Predictive Grinding -- 4.State Prediction of a Running Ball Mill -- 5.Residence Time Calculation of the Grinding Materials using Genetic Algorithm -- 6.Real-time System Design to Predict the States of a Ball Mill -- 7.System Validation -- 8.Conclusion and Future Scope.
Contained By:	Springer Nature eBook
標題:	Particle size determination. -
電子資源:	https://doi.org/10.1007/978-3-031-91290-0
ISBN:	9783031912900

Intelligent real-time control systems to predict the particle size of minerals using acoustics of ball mill
Sil, Jaya.

Intelligent real-time control systems to predict the particle size of minerals using acoustics of ball mill[electronic resource] /by Jaya Sil, Arup Kumar Bhaumik, Sonali Sen. - Cham :Springer Nature Switzerland :2025. - xxiv, 165 p. :ill. (chiefly color), digital ;24 cm. - Studies in systems, decision and control,v. 6002198-4190 ;. - Studies in systems, decision and control ;v. 600..

1.Introduction and Preliminaries -- 2.Ball Mill Acoustics and Analysis -- 3.Particle Size Analysis and Predictive Grinding -- 4.State Prediction of a Running Ball Mill -- 5.Residence Time Calculation of the Grinding Materials using Genetic Algorithm -- 6.Real-time System Design to Predict the States of a Ball Mill -- 7.System Validation -- 8.Conclusion and Future Scope.

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.

ISBN: 9783031912900

Standard No.: 10.1007/978-3-031-91290-0doiSubjects--Topical Terms:

711244
Particle size determination.

LC Class. No.: TA418.8

Dewey Class. No.: 620.43

Intelligent real-time control systems to predict the particle size of minerals using acoustics of ball mill
LDR:02517nmm a2200361 a 4500 001 2413529
003 DE-He213
005 20250610130256.0
006 m d
007 cr nn 008maaau
008 260205s2025 sz s 0 eng d
020 $a 9783031912900 $q (electronic bk.)
020 $a 9783031912894 $q (paper)
024 7 $a 10.1007/978-3-031-91290-0 $2 doi
035 $a 978-3-031-91290-0
040 $a GP $c GP
041 0 $a eng
050 4 $a TA418.8
072 7 $a TJFM $2 bicssc
072 7 $a GPFC $2 bicssc
072 7 $a TEC007000 $2 bisacsh
072 7 $a TJFM $2 thema
082 0 4 $a 620.43 $2 23
090 $a TA418.8 $b .S581 2025
100 1 $a Sil, Jaya. $3 3308764
245 1 0 $a Intelligent real-time control systems to predict the particle size of minerals using acoustics of ball mill $h [electronic resource] / $c by Jaya Sil, Arup Kumar Bhaumik, Sonali Sen.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xxiv, 165 p. : $b ill. (chiefly color), digital ; $c 24 cm.
338 $a online resource $b cr $2 rdacarrier
490 1 $a Studies in systems, decision and control, $x 2198-4190 ; $v v. 600
505 0 $a 1.Introduction and Preliminaries -- 2.Ball Mill Acoustics and Analysis -- 3.Particle Size Analysis and Predictive Grinding -- 4.State Prediction of a Running Ball Mill -- 5.Residence Time Calculation of the Grinding Materials using Genetic Algorithm -- 6.Real-time System Design to Predict the States of a Ball Mill -- 7.System Validation -- 8.Conclusion and Future Scope.
520 $a 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.
650 0 $a Particle size determination. $3 711244
650 0 $a Ball mills. $3 3789675
650 1 4 $a Control and Systems Theory. $3 3381515
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Engineering Acoustics. $3 1533220
650 2 4 $a Digital and Analog Signal Processing. $3 3538815
650 2 4 $a Acoustics. $3 879105
700 1 $a Bhaumik, Arup Kumar. $3 3789672
700 1 $a Sen, Sonali. $3 3789673
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Studies in systems, decision and control ; $v v. 600. $3 3789674
856 4 0 $u https://doi.org/10.1007/978-3-031-91290-0
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)