Management Systems in Production Engineering (Jul 2014)

RELIABILITY MODELING BASED ON INCOMPLETE DATA: OIL PUMP APPLICATION

  • Ahmed HAFAIFA,
  • Belhadef RACHID,
  • Mohamed BOUMEHRAZ

DOI
https://doi.org/10.12914/MSPE‐09‐03‐2014
Journal volume & issue
Vol. 15, no. 3
pp. 140 – 144

Abstract

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The reliability analysis for industrial maintenance is now increasingly demanded by the industrialists in the world. Indeed, the modern manufacturing facilities are equipped by data acquisition and monitoring system, these systems generates a large volume of data. These data can be used to infer future decisions affecting the health facilities. These data can be used to infer future decisions affecting the state of the exploited equipment. However, in most practical cases the data used in reliability modelling are incomplete or not reliable. In this context, to analyze the reliability of an oil pump, this work proposes to examine and treat the incomplete, incorrect or aberrant data to the reliability modeling of an oil pump. The objective of this paper is to propose a suitable methodology for replacing the incomplete data using a regression method.

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