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n South African Journal of Industrial Engineering - Statistical analysis of Caterpillar 793D haul truck engine data and through-life diagnostic information using the proportional hazards model

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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.

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 strategieƫ 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.

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/content/indeng/24/2/EJC144217
2013-08-01
2016-12-06
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