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Warianty tytułu
Języki publikacji
Abstrakty
Reliable operation of contemporary complex systems depends on selecting efficient maintenance policy, which often must take into account not only the reliability, but also economic factors. In this work, we present an approach which allows evaluation of various possible maintenance scenarios with respect to these two areas. The method is based on the concept of a life curve and discounted cost used to study the effect of equipment aging under different maintenance strategies. The deterioration process is first described by a Markov model and then its various characteristics are used to develop the equipment life curve and to quantify other reliability parameters. Based on these data, effects of various “what-if” maintenance scenarios can be examined and their efficiency compared. Simple life curves are combined to model equipment deterioration undergoing diverse maintenance actions, while computing other parameters of the model allows evaluation of additional critical factors, such as probability of equipment failure. Additionally, the paper deals with the problem of the model adjustment so that the computed frequencies are close to the historical values, which is very important in practical applications of the method.
Rocznik
Tom
Strony
177--184
Opis fizyczny
Bibliogr. 17 poz., rys., wykr.
Twórcy
autor
- Wrocław University of Technology, Wrocław, Poland
autor
- Technical University of Łódź, Łódź, Poland
Bibliografia
- [1] Anders, G.J. & Endrenyi, J. (2004). Using Life Curves in the Management of Equipment Maintenance. PMAPS’2004 Conference, Ames, Iowa.
- [2] Anders, G.J. & Leite da Silva, A.M. (2000). Cost Related Reliability Measures for Power System Equipment. IEEE Transactions On Power Systems, 15, 654-660.
- [3] Anders, G.J. & Maciejewski, H. (2006). Estimation of impact of maintenance policies on equipment risk of failure. Proc. Int. Conf. Dependability of Computer Systems DepCoS – RELCOMEX 2006, IEEE Comp. Soc. Press, 351-357.
- [4] Anders, G.J. & Sugier, J. (2006). Risk assessment tool for maintenance selection. Proc. Int. Conf. Dependability of Computer Systems DepCoS – RELCOMEX 2006, IEEE Comp. Soc. Press, 306-313.
- [5] Billinton, R. & Allan, R.N. (1992). Reliability Evaluation of Engineering Systems: Concepts and Techniques, Springer.
- [6] Chan, G.K. & Asgarpoor, S. (2001). Preventive Maintenance with Markov Processes. Proc. 2001 North American Power Symposium, College Station, TX, October 2001, 510-515.
- [7] Endrenyi, J., Anders, G.J. & Leite da Silva, A.M. (1998). Probabilistic Evaluation of the Effect of Maintenance on Reliability – An Application. IEEE Transactions on Power Systems, 13, 567-583.
- [8] Hosseini, M.M., Kerr, R.M. & Randall, R.B. (2000). An inspection model with minimal and major maintenance for a system with deterioration and Poisson failures. IEEE Trans. on Reliability, 49, 88-98.
- [9] Hughes, D.T. & Russell, D.S. (2005). Condition Based Risk Management (CBRM), a Vital Step in Investment Planning for Asset Replacement, Proc. 3rd IEE International Conference on Reliability of Transmission and Distribution Networks (RTDN 2005), London, UK, 15-17 Feb. 2005, 261–265.
- [10] Endrenyi, J., Aboresheid, S., Allan, R.N., Anders, G.J., Asgarpoor, S., Billinton, R., Chowdhury, N., Dialynas, E.N., Fipper, M., Fletcher, R.H., Grigg, C., McCalley, J., Meliopoulos, S., Mielnik, T.C., Nitu, P., Rau, N., Reppen, N.D., Salvaderi, L., Schneider, A. & Singh, Ch., (2001). The Present Status of Maintenance Strategies and the Impact of Maintenance on Reliability. IEEE Trans. Power Systems, 16, 638-646.
- [11] Limnios, N. & Oprisan, G. (2001). Semi-Markov Processes and Reliability. Birkhauser, Boston, MA.
- [12] Perman, M., Senegacnik, A. & Tuma, M. (1997). Semi-Markov Models with an Application to Power-Plant Reliability Analysis. IEEE Transactions on Reliability, 46, 526-532.
- [13] Sugier, J. & Anders, G.J. (2007). Modeling changes in maintenance activities through finetuning Markov models of ageing equipment. Proc. Int. Conf. Dependability of Computer Systems DepCoS – RELCOMEX 2007, IEEE Comp. Soc. Press, 336-343.
- [14] Sugier, J. & Anders, G.J. (2008). Verification of Markov models of ageing power equipment. Proc. Int. Conf. Probabilistic Methods Applied to Power Systems PMAPS2008, Rincon, Puerto Rico, 1-6.
- [15] Sugier, J. & Anders, G.J. (2009). Modifying Markov models of ageing equipment for modeling changes in maintenance policies. Proc. Int. Conf. Dependability of Computer Systems DepCoS – RELCOMEX 2009, IEEE Comp. Soc. Press, 348-355.
- [16] Yin, L., Fricks, R.M., Trivedi, K.S. (2002). Application of Semi-Markov Process and CTMC to Evaluation of UPS System Availability. Proc. Annual Reliability and Maintainability Symposium, 584-591.
- [17] Zhang, T., Nakamura, M. & Hatazaki, H. (2002). A decision methodology for maintenance interval of equipment by ordering based on element reparation-replacement rate. Power Engineering Society Summer Meeting, 2002 IEEE, 2, 969-974.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-26ab37d7-a3a5-4904-90fc-d04d3d76284b