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

KÖKEN E., Lawal A. I., Onifade M., ÖZARSLAN A.

INTERNATIONAL JOURNAL OF MINING RECLAMATION AND ENVIRONMENT, cilt.36, sa.1, ss.26-45, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 36 Sayı: 1
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1080/17480930.2021.1949859
  • Dergi Adı: INTERNATIONAL JOURNAL OF MINING RECLAMATION AND ENVIRONMENT
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Applied Science & Technology Source, Compendex, Computer & Applied Sciences, Environment Index, Geobase, Greenfile, INSPEC, Pollution Abstracts
  • Sayfa Sayıları: ss.26-45
  • Anahtar Kelimeler: Conveyor belt, mining, power calculation, regression algorithms, gene expression programming
  • Abdullah Gül Üniversitesi Adresli: Evet

Özet

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.