Maintenance strategies in dynamic environments for repairable systems with minimal repairs dependent on their deterioration level

Reliability, Risk and Safety: Back to the Future

Volumn , Issue , 2010, Pages 1459-1465

  Castro, I T ^a   Huynh, K T ^b   Barros, A ^b   Berenguer C ^b  

^a UNIVERSITY OF EXTREMADURA   (Spain)

^b UNIVERSITÉ DE TECHNOLOGIE DE TROYES   (France)

Author keywords

[No Author keywords available]

Indexed keywords

AGE REPLACEMENT POLICY; CORRECTIVE MAINTENANCE; DYNAMIC ENVIRONMENTS; EXPECTED COSTS; GAMMA PROCESS; INTERNAL FAILURE; MAINTENANCE POLICY; MAINTENANCE STRATEGIES; MINIMAL REPAIR; NUMERICAL EXAMPLE; REPAIRABLE SYSTEMS;

DETERIORATION; RELIABILITY;

REPAIR;

EID: 84861685427     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Gnedenko, B. and Korolev, V. (1996). Random summation: limit theorems and applications. CRC Press, Florida (USA).
2. Huynh, K., Barros, A., Bérenguer, C. and Castro, I. (2009). Value of condition monitoring for a singleunit system subject to competing failures modes due to wear and traumatic events. In Proceedings of Mathematical Methods in Reliability: Theory, Methods, Applications, pp. 293-297.
3. Huynh, K., Barros, A., Bérenguer, C. and Castro, I. (2010). Value of condition monitoring information for maintenance decision-making. In Proc. Ann. Reliability & Maintainability Symp, pp. 543-548.
4. Lehmann, A. (2009). Joint modeling of degradation and failure time data. Journal of Statistical Planning and Inference 139 (5), 1693-1706.
5. Lemoine, A. and Wenocur, M. (1985). On failure modeling. Naval Research Logistic Quarterly 32, 479-508.
6. Meeker, W. and Escobar, L. (1998). Statistical Methods for Reliability Data. Wiley, New York.
7. Singpurwalla, N. (1995). Survival in dynamic environments. Statistical Science 10(1), 86-103.