Please use this identifier to cite or link to this item: https://doi.org/10.1002/qre.977
Title: A Study of time-between-events control chart for the monitoring of regularly maintained systems
Authors: Khoo, M.B.C.
Xie, M. 
Keywords: Exponential distribution
Failure rate
Maintenance interval
Regular maintenance
Reliability monitoring
Time-between-events control chart
Weibull distribution
Issue Date: Nov-2009
Source: Khoo, M.B.C., Xie, M. (2009-11). A Study of time-between-events control chart for the monitoring of regularly maintained systems. Quality and Reliability Engineering International 25 (7) : 805-819. ScholarBank@NUS Repository. https://doi.org/10.1002/qre.977
Abstract: Owing to usage, environment and aging, the condition of a system deteriorates over time. Regular maintenance is often conducted to restore its condition and to prevent failures from occurring. In this kind of a situation, the process is considered to be stable, thus statistical process control charts can be used to monitor the process. The monitoring can help in making a decision on whether further maintenance is worthwhile or whether the system has deteriorated to a state where regular maintenance is no longer effective. When modeling a deteriorating system, lifetime distributions with increasing failure rate are more appropriate. However, for a regularly maintained system, the failure time distribution can be approximated by the exponential distribution with an average failure rate that depends on the maintenance interval. In this paper, we adopt a modification for a time-between-events control chart, i.e. the exponential chart for monitoring the failure process of a maintained Weibull distributed system. We study the effect of changes on the scale parameter of the Weibull distribution while the shape parameter remains at the same level on the sensitivity of the exponential chart. This paper illustrates an approach of integrating maintenance decision with statistical process monitoring methods. © 2008 John Wiley &Sons, Ltd.
Source Title: Quality and Reliability Engineering International
URI: http://scholarbank.nus.edu.sg/handle/10635/62968
ISSN: 07488017
DOI: 10.1002/qre.977
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