mdh.sePublikationer
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Economic lifetime prediction of a mining drilling machine using an artificial neural network
Luleå University of Technology, Luleå, Sweden.
Mälardalens högskola, Akademin för innovation, design och teknik, Innovation och produktrealisering.ORCID-id: 0000-0002-8524-3321
Luleå University of Technology, Luleå, Sweden.
Luleå University of Technology, Luleå, Sweden.
2014 (Engelska)Ingår i: International Journal of Mining, Reclamation and Environment, ISSN 1748-0930, E-ISSN 1748-0949, Vol. 28, nr 5, s. 311-322Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

This study develops models for predicting the economic lifetime of drilling machines used in mining. It uses three cases, each represented by a MATLAB code, to develop an optimisation model. The resulting ORT is fed as input to an artificial neural network (ANN) and the results translated into a relatively simple equation. The study finds that increasing the purchase price and decreasing the operating and maintenance costs will increase a machine's ORT linearly. Decreased maintenance cost has the largest impact on ORT, followed by increased purchase price and decreased operating cost. The ANN method gives a series of basic weight and response functions which can be made available to any engineer without the use of complicated software. It also helps decision-makers determine the best time economically to replace an old machine with a new one; thus, it can be extended to more general applications in the mining industry.

Ort, förlag, år, upplaga, sidor
2014. Vol. 28, nr 5, s. 311-322
Nationell ämneskategori
Annan teknik
Identifikatorer
URN: urn:nbn:se:mdh:diva-26439DOI: 10.1080/17480930.2014.942519ISI: 000343814000006Scopus ID: 2-s2.0-84908509788OAI: oai:DiVA.org:mdh-26439DiVA, id: diva2:759974
Projekt
XPRESTillgänglig från: 2014-11-02 Skapad: 2014-10-31 Senast uppdaterad: 2017-12-05Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextScopus

Personposter BETA

Ahmadzadeh, Farzaneh

Sök vidare i DiVA

Av författaren/redaktören
Ahmadzadeh, Farzaneh
Av organisationen
Innovation och produktrealisering
I samma tidskrift
International Journal of Mining, Reclamation and Environment
Annan teknik

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetricpoäng

doi
urn-nbn
Totalt: 234 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf