Towards a general condition based maintenance model for a stochastic dynamic system

Journal of the Operational Research Society

Volumn 51, Issue 2, 2000, Pages 145-155

  Wang, W ^a   Christer, A H ^a,b  

^a UNIVERSITY OF SALFORD   (United Kingdom)

^b EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Condition monitoring; Decision modeling; Maintenance; Replacement; Stochastic

Indexed keywords

APPROXIMATION THEORY; DECISION THEORY; MATHEMATICAL MODELS; PREVENTIVE MAINTENANCE; RANDOM PROCESSES;

REPLACEMENT PROCESS; STOCHASTIC DYNAMIC SYSTEMS;

OPERATIONS RESEARCH;

EID: 0033882201     PISSN: 01605682     EISSN: 14769360     Source Type: Journal    
DOI: 10.1057/palgrave.jors.2600863     Document Type: Article

References (21)

1. Christer AH and Wang W (1995). A simple condition monitoring model for a direct monitoring process. Eur J Opl Res 82: 258-269.
2. Christer AH and Wang W (1992). A model of condition monitoring of production plant. IJ Prod Res 30: 2199-2211.
3. Coolen PAF and Dekker R (1995). Analysis of a 2-phase model for optimisation of condition-monitoring intervals. IEEE Trans Reliab 44: 505-511.
4. Aven T (1996). Condition based replacement policies—a counting process approach. Reliab Eng & Sys Safety 51: 275-281.
5. Aven T (1987). A counting process approach to replacement models. Optimisation 18: 285-296.
6. Heinrich G and Jensen U (1992). Optimal replacement rules based upon different information levels. Naval Res Logist 39: 937-955.
7. Jensen U (1990). A general replacement model. ZOR-Methods and Models of Opns Res 34: 432-439.
8. Christer AH, Wang W and Sharp J (1997). A state space condition monitoring model for furnace erosion prediction and replacement. Eur J Opl Res 101: 1-14.
9. Campodonico S and Singpurwalla ND (1994). The signature as a covariate in reliability and biometry. In: Freeman PR and Smith AFM (eds). Aspects of Uncertainty. John Wiley: London. pp 119-147.
10. Kumar D and Westburg U (1997). Maintenance scheduling under age replacement policy using proportional hazard modelling and total time on test plotting. Eur J Opl Res 99: 507-515.
11. Markis V and Jardine AKS (1991). Computation of optimal policies in replacement models. IMA, J Maths Appl Bus and Indust 3: 169-176.
12. Christer AH, Wang W and Sharp J (1995). A model condition monitoring by stochastic filtering. In: Rao BKN, Moore TN and Jeswiet J (eds). Proceedings of COMADEM 95, 8th International Congress on Condition Monitoring and Diagnosis Engineering Management, Queens University, Kingston, Ontario, Canada. pp 337-344.
13. Collacott RA (1977). Mechanical Fault Diagnosis and Condition Monitoring. Chapman & Hall Ltd.: London.
14. Al-Najjar B (1991). On the selection of condition based maintenance for mechanical systems. In: Holmberg K and Folkeson A (eds). Operational Reliability and System Maintenance. Elsevier Applied Science: London and New York. pp 153-173.
15. Aoki M (1967). Optimisation of Stochastic Systems, Topics in Discrete Time Systems. Academic Press: New York, London.
16. Harvey AC (1989). Forecasting, Structural Time Series Model and the Kalman Filter. Cambridge University Press: Cambridge.
17. Kitagawa G (1987). Non-Gaussian state-space modelling of nonstationary time series. J Am Statist Assoc 82: 1032-1041.
18. Smith RL and Miller JE (1986). A non-Gaussian state space model and application to prediction of records. JR Statist Soc B 48: 79-88.
19. Bather JA (1964). Invariant condition distributions. Ann Math Statist 36: 829-846.
20. Freund JE (1972). Mathematical Statistics. Prentice-Hall: London.
21. Chilcott J and Christer AH (1991). Modelling of condition based maintenance at the coal face. Int J Prod Econ 22: 1-11.