Statistical analysis of caterpillar 793D haul truck engine data and through-life diagnostic information using the proportional hazards model

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dc.contributor.authorCarstens, W. A.en_ZA
dc.contributor.authorVlok, P. J.en_ZA
dc.date.accessioned2014-07-07T12:10:42Z
dc.date.available2014-07-07T12:10:42Z
dc.date.issued2013-08
dc.descriptionCITATION: Carstens, W. A. & Vlok, P. J. 2013. Statistical analysis of caterpillar 793D haul truck engine data and through-life diagnostic information using the proportional hazards model. South African Journal of Industrial Engineering, 24(2):59-68, doi:10.7166/24-2-492.
dc.descriptionThe original publication is available at http://sajie.journals.ac.za
dc.description.abstractENGLISH ABSTRACT: Physical asset management (PAM) is of increasing concern for companies in industry today. A key performance area of PAM is asset care plans (ACPs), which consist of maintenance strategies such as usage based maintenance (UBM) and condition based maintenance (CBM). Data obtained from the South African mining industry was modelled using a CBM prognostic model called the proportional hazards model (PHM). Results indicated that the developed model produced estimates that were reasonable representations of reality. These findings provide an exciting basis for the development of future Weibull PHMs that could result in huge maintenance cost savings and reduced failure occurrences.en_ZA
dc.description.abstractAFRIKAANSE OPSOMMING: Fisiese batebestuur (FBB) is besig om ’n groter bekommernis te word vir maatskappye in die bedryf vandag. ’n Sleutel fokusarea van FBB is bateversorgingsplanne wat bestaan uit strategieë soos gebruikgebaseerde onderhoud en toestandgebaseerde onderhoud (TGO). Data verkry uit die Suid-Afrikaanse mynbedryf is gemodelleer met behulp van ’n TGO prognostiese model genoem die proporsionele gevaarkoersmodel (PGM). Resultate het daarop gedui dat die model beramings verkry wat akkurate voorstellings van die werklikheid is. Hierdie bevindinge bied ’n opwindende basis vir die ontwikkeling van toekomstige Weibull proporsionele gevaarkoersmodelle wat kan lei tot groot onderhoudkostebesparings en verminderde falings.af_ZA
dc.description.urihttp://sajie.journals.ac.za/pub/article/view/492
dc.description.versionPublisher's version
dc.format.extent10 pagesen_ZA
dc.identifier.citationCarstens, W. A. & Vlok, P. J. 2013. Statistical analysis of caterpillar 793D haul truck engine data and through-life diagnostic information using the proportional hazards model. South African Journal of Industrial Engineering, 24(2):59-68, doi:10.7166/24-2-492.
dc.identifier.issn2224-7890 (online)
dc.identifier.issn1012-277X (print)
dc.identifier.otherdoi:10.7166/24-2-492
dc.identifier.urihttp://hdl.handle.net/10019.1/91662
dc.language.isoen_ZAen_ZA
dc.publisherSouthern African Institute for Industrial Engineeringen_ZA
dc.rights.holderAuthors retain copyrighten_ZA
dc.subjectAssets (Accounting) -- Managementen_ZA
dc.subjectStatistical analysisen_ZA
dc.subjectMining industryen_ZA
dc.subjectService life (Engineering)en_ZA
dc.titleStatistical analysis of caterpillar 793D haul truck engine data and through-life diagnostic information using the proportional hazards modelen_ZA
dc.typeArticleen_ZA
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