Imperfect repair proportional intensity models for maintained systems

IEEE Transactions on Reliability

Volumn 60, Issue 4, 2011, Pages 782-787

  Syamsundar, A ^a   Naikan, Vallayil N Achutha ^a  

^a Visakhapatnam Steel Plant   (India)

Author keywords

Imperfect repair; industrial maintenance; intensity process; likelihood function; maintained system; minimal repair; point process; power law process; proportional intensity; repairable system

Indexed keywords

IMPERFECT REPAIR; INDUSTRIAL MAINTENANCE; INTENSITY PROCESS; LIKELIHOOD FUNCTION; MAINTAINED SYSTEM; MINIMAL REPAIR; POINT PROCESS; POWER LAW PROCESS; PROPORTIONAL INTENSITY; REPAIRABLE SYSTEMS;

PARAMETER ESTIMATION;

REPAIR;

EID: 82455187915     PISSN: 00189529     EISSN: None     Source Type: Journal    
DOI: 10.1109/TR.2011.2161110     Document Type: Article

References (12)

1. M. Kijima, "Some results for repairable systems with general repair" Journal of Applied Probability, vol. 26, pp. 89-102, 1989.
2. L. Doyen and O. Gaudoin, "Classes of imperfect repair models based on reduction of failure intensity or virtual age" Reliability Engineering and System Safety, vol. 84, pp. 45-56, 2004.
3. D. R. Cox, "The statistical analysis of the dependencies in point processes" in Stochastic Point Processes, P. A. W. Lewis, Ed. New York: Wiley, 1972, pp. 55-66.
4. C. E. Love and R. Guo, "Application of Weibull proportional hazards modelling to bad-as-old failure data" Quality and Reliability Engineering International, vol. 7, pp. 149-157, 1991.
5. D. Kumar, "Proportional hazards modelling of repairable systems" Quality and Reliability Engineering International, vol. 11, pp. 361-369, 1995.
6. R. Guo, H. Ascher, and E. Love, "Towards practical and synthetical modelling of repairable systems" Economic Quality Control, vol. 16, no. 2, pp. 147-182, 2001.
7. R. Guo and C. E. Love, "Statistical analysis of an age model for imperfectly repaired systems" Quality and Reliability Engineering International, vol. 8, pp. 133-146, 1992.
8. S. Gasmi, C. E. Love, and W. Kahle, "A general repair proportional hazards framework to model complex repairable systems" IEEE Trans. Reliability, vol. 52, no. 1, pp. 26-32, 2003.
9. D. F. Percy and B. M. Alkali, "Generalised proportional intensities models for repairable systems" IMA Journal of Management Mathematics, IMA Journal of Management Mathematics, vol. 17, pp. 171-185, 2006.
10. B. H. Lindqvist, "On the statistical modelling and analysis of repairable systems" Statistical Science, vol. 21, pp. 532-551, 2006.
11. H. Akaike, "Information theory and an extension of the maximum likelihood principle" in International Symposium on Information Theory, Budapest, 1973, Akademia Kiado.
12. R:Alanguage and environment for statistical computing, R Foundation for Statistical Computing Vienna Austria [Online]. Available: http://www.R-project. org, 2006, R Development Core Team, url