| Autor: |
Köken, Ekin, Lawal, Abiodun Ismail, Onifade, Moshood, Özarslan, Ahmet |
| Předmět: |
|
| Zdroj: |
International Journal of Mining, Reclamation & Environment; Jan 2022, Vol. 36 Issue 1, p26-45, 20p |
| Abstrakt: |
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 (Pc, kW) was measured directly on motorised head-pulleys. The Pc 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 Pc. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
|
