A COMPARATIVE STUDY ON POWER CALCULATION METHODS FOR CONVEYOR BELTS IN MINING INDUSTRY

被引：9

作者：

Koken, Ekin ^{[1
]}

Lawal, Abiodun Ismail ^{[2
]}

Onifade, Moshood ^{[3
]}

Ozarslan, Ahmet ^{[4
]}

机构：

[1] Abdullah Gul Univ, Dept Nanotechnol Engn, Kayseri, Turkey

[2] Fed Univ Technol Akure, Dept Min Engn, Akure, Nigeria

[3] Univ Nambia, Dept Civil & Min Engn, Ongwediva, Namibia

[4] Zonguldak Bulent Ecevit Univ, Dept Min Engn, Zonguldak, Turkey

来源：

INTERNATIONAL JOURNAL OF MINING RECLAMATION AND ENVIRONMENT | 2022年 / 36卷 / 01期

关键词：

Conveyor belt; mining; power calculation; regression algorithms; gene expression programming;

D O I：

10.1080/17480930.2021.1949859

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This paper covers different methods to evaluate the power consumption of several conveyor belt systems (CBSs) used in the Turkish Mining Industry (TMI). Based on each CBS's operational features, the power consumption (P-c, kW) was measured directly on motorised head-pulleys. The P-c was investigated through several conventional, statistical, and machine learning methods. This study shows that the DIN 22,101 could be the most convenient conventional method for the investigated CBSs. On the other hand, based on the nonlinear regression (NLR) and genetic expression programming (GEP) models, two new approaches were suggested for the design and optimisation of the P-c.

引用

页码：26 / 45

页数：20

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