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

Authors

  • W A Carstens University of Stellenbosch
  • P J Vlok Department of Industrial Engineering

DOI:

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

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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Author Biographies

W A Carstens, University of Stellenbosch

Department of Industrial Engineering

P J Vlok, Department of Industrial Engineering

University of Stellenbosch

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Published

2013-09-06

How to Cite

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. The South African Journal of Industrial Engineering, 24(2), 59–68. https://doi.org/10.7166/24-2-492

Issue

Vol. 24 No. 2 (2013)

Section

General Articles

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