Time Between Events Monitoring for Imperfect Maintained Systems with Application to a Robotic System

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

1 Scopus Citations
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Author(s)

  • Ahmed Maged
  • Salah Haridy
  • Michael K. Chong
  • Mohammad Shamsuzzaman

Detail(s)

Original languageEnglish
Pages (from-to)1347–1372
Number of pages26
Journal / PublicationJournal of Statistical Computation and Simulation
Volume92
Issue number7
Online published27 Oct 2021
Publication statusPublished - 2022

Abstract

The condition of any system deteriorates overtime due to usage, environmental effect and aging. Preventive maintenance is often conducted to restore the system’s condition and to prevent failures. Preventive maintenance activities are usually imperfect, meaning that the system failure rate increases with the increase in the number of repairs being carried out. Monitoring the time between failures can help in deciding whether further maintenance is beneficial or is no longer effective. In this paper, we introduce a Time Between Events chart for monitoring the failure events of imperfect maintained Weibull distributed system. We study the performance of the chart various performance measures. We provide an illustrative example using a dataset from the literature and an extensive case study from a painting shop, where a robotic system is operated. Further, we introduce a reliability scheme for monitoring the process where the application of the developed chart is elaborated.

Research Area(s)

  • Imperfect preventive maintenance, reliability monitoring, TBE, Weibull distribution

Citation Format(s)

Time Between Events Monitoring for Imperfect Maintained Systems with Application to a Robotic System. / Maged, Ahmed; Haridy, Salah; Chong, Michael K. et al.

In: Journal of Statistical Computation and Simulation, Vol. 92, No. 7, 2022, p. 1347–1372.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review