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Bayesian Prediction of the Overhaul Effect on a Repairable System with Bounded Failure Intensity
Joint Authors
Jain, Nidhi
Srivastava, Preeti Wanti
Source
International Journal of Quality, Statistics, and Reliability
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-08-25
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Economics & Business Administration
Economy
Abstract EN
This paper deals with the Bayes prediction of the future failures of a deteriorating repairable mechanical system subject to minimal repairs and periodic overhauls.
To model the effect of overhauls on the reliability of the system a proportional age reduction model is assumed and the 2-parameter Engelhardt-Bain process (2-EBP) is used to model the failure process between two successive overhauls.
2-EBP has an advantage over Power Law Process (PLP) models.
It is found that the failure intensity of deteriorating repairable systems attains a finite bound when repeated minimal repair actions are combined with some overhauls.
If such a data is analyzed through models with unbounded increasing failure intensity, such as the PLP, then pessimistic estimates of the system reliability will arise and incorrect preventive maintenance policy may be defined.
On the basis of the observed data and of a number of suitable prior densities reflecting varied degrees of belief on the failure/repair process and effectiveness of overhauls, the prediction of the future failure times and the number of failures in a future time interval is found.
Finally, a numerical application is used to illustrate the advantages from overhauls and sensitivity analysis of the improvement parameter carried out.
American Psychological Association (APA)
Srivastava, Preeti Wanti& Jain, Nidhi. 2011. Bayesian Prediction of the Overhaul Effect on a Repairable System with Bounded Failure Intensity. International Journal of Quality, Statistics, and Reliability،Vol. 2011, no. 2011, pp.1-8.
https://search.emarefa.net/detail/BIM-490041
Modern Language Association (MLA)
Srivastava, Preeti Wanti& Jain, Nidhi. Bayesian Prediction of the Overhaul Effect on a Repairable System with Bounded Failure Intensity. International Journal of Quality, Statistics, and Reliability No. 2011 (2011), pp.1-8.
https://search.emarefa.net/detail/BIM-490041
American Medical Association (AMA)
Srivastava, Preeti Wanti& Jain, Nidhi. Bayesian Prediction of the Overhaul Effect on a Repairable System with Bounded Failure Intensity. International Journal of Quality, Statistics, and Reliability. 2011. Vol. 2011, no. 2011, pp.1-8.
https://search.emarefa.net/detail/BIM-490041
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-490041