An intelligent condition-based maintenance scheduling model

International Journal of Quality and Reliability Management

Volumn 24, Issue 3, 2007, Pages 312-327

  Baek, Jun Geol ^a  

^a Kwangwoon University   (South Korea)

Author keywords

Decision trees; Maintenance; Maintenance programmes; Mathematical modelling; Simulation

Indexed keywords

EID: 33947099918     PISSN: 0265671X     EISSN: None     Source Type: Journal    
DOI: 10.1108/02656710710730898     Document Type: Article

References (19)

1. Bunks, C., McCarthy, D. and Al-Ani, T. (2000), "Condition-based maintenance of machines using hidden Markov models", Mechanical Systems and Signal Processing, Vol. 14 No. 4, pp. 597-612.
2. Duncan, A.J. (1986), Quality Control and Industrial Statistics, 5th ed., Irwin, Homewood, IL.
3. Fayyad, U.M. and Irani, K.B. (1993), "Multi-interval discretization of continuous-valued attributes for classification learning", Proceedings of the 13th International Joint Conference on Artificial Intelligence, Chambery, pp. 1022-7.
4. Gertsbakh, I.B. (1977), Models of Preventive Maintenance, North Holland, Amsterdam.
5. Grall, A., Berenguer, C. and Dieulle, L. (2002), "A condition-based maintenance policy for stochastically deteriorating systems", Reliability Engineering and System Safety, Vol. 76 No. 2, pp. 167-80.
6. Hernandez-Lerma, O. (1989), Adaptive Markov Control Processes, Springer-Verlag, Berlin.
7. Jardine, A.K.S., Lin, D. and Banjevic, D. (2006), "A review of machinery diagnostics and prognostics implementing condition-based maintenance", Mechanical Systems and Signal Processing, Vol. 20 No. 7, pp. 1483-510.
8. Kumar, P.R. and Varaiya, P. (1986), Stochastic Systems: Estimation, Identification and Adaptive Control, Prentice-Hall, Englewood Cliffs, NJ.
9. Mitchell, T.M. (1997), Machine Learning, McGraw-Hill, New York, NY.
10. Montgomery, C.M. (1996), Introduction to Statistical Quality Control, 3rd ed., Wiley, New York, NY.
11. Oke, S.A. and Charles-Owaba, O.E. (2006), "An approach for evaluating preventive maintenance scheduling cost", International Journal of Quality & Reliability Management, Vol. 23 No. 7, pp. 847-79.
12. Puterman, M.L. (1994), Markov Decision Processes: Discrete Stochastic Dynamic Programming, Wiley, New York, NY.
13. Quinlan, J.R. (1986), "Induction of decision trees", Machine Learning, Vol. 1 No. 1, pp. 81-106.
14. Quinlan, J.R. (1993), C4.5: Programs for Machine Learning, Morgan Kaufmann, San Francisco, CA.
15. Schlimmer, J.C. and Fisher, D. (1986), "A case study of incremental concept induction", Proceedings of the 5th International Conference on Artificial Intelligence, Los Altos, CA, pp. 496-501.
16. Utgoff, P.E. (1989), "Incremental induction of decision trees", Machine Learning, Vol. 4 No. 2, pp. 161-86.
17. Williams, J.H., Davies, A. and Drake, P.R. (1994), Condition-Based Maintenance and Machine Diagnostics, Chapman and Hall, London.
18. Witten, I.H. and Frank, E. (2000), Data Mining: Practical Machine Learning Tools and Techniques with JAVA Implementations, Morgan Kaufmann, San Francisco, CA.
19. Yang, S.K. (2003), "A condition-based failure-prediction and processing-scheme for preventive maintenance", IEEE Transactions on Reliability, Vol. 52 No. 3, pp. 373-83.