STATISTICAL ANALYSIS OF CATERPILLAR 793D HAUL TRUCK ENGINE DATA AND THROUGH-LIFE DIAGNOSTIC INFORMATION USING THE PROPORTIONAL HAZARDS MODEL

W A Carstens, P J Vlok

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.


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DOI: https://doi.org/10.7166/24-2-492

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