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2009 Fourth International Conference on Dependability of Computer Systems
Modifying Markov Models of Ageing Equipment for Modeling Changes in Maintenance Policies
Brunow, Poland
June 30-July 02
ISBN: 978-0-7695-3674-3
| ASCII Text | x | ||
| Jaroslaw Sugier, George J. Anders, "Modifying Markov Models of Ageing Equipment for Modeling Changes in Maintenance Policies," Dependability of Computer Systems, International Conference on, pp. 348-355, 2009 Fourth International Conference on Dependability of Computer Systems, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/DepCoS-RELCOMEX.2009.23, author = {Jaroslaw Sugier and George J. Anders}, title = {Modifying Markov Models of Ageing Equipment for Modeling Changes in Maintenance Policies}, journal ={Dependability of Computer Systems, International Conference on}, volume = {0}, year = {2009}, isbn = {978-0-7695-3674-3}, pages = {348-355}, doi = {http://doi.ieeecomputersociety.org/10.1109/DepCoS-RELCOMEX.2009.23}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Dependability of Computer Systems, International Conference on TI - Modifying Markov Models of Ageing Equipment for Modeling Changes in Maintenance Policies SN - 978-0-7695-3674-3 SP348 EP355 A1 - Jaroslaw Sugier, A1 - George J. Anders, PY - 2009 KW - Markov model KW - maintenance policy KW - model adjustment VL - 0 JA - Dependability of Computer Systems, International Conference on ER - | |||
The paper presents a method for adjustments of parameters of Markov models representing ageing equipment. The adjustment procedure begins with some basic model that represents both the equipment ageing and various maintenance activities. The solution of the model gives, among other results, the frequencies of the repair states. These frequencies are also known from maintenance records. The proposed method automatically adjusts model’s internal parameters so that the computed and actual frequencies of repairs match. The paper describes structure of the Markov model, presents main steps of the adjustment procedure, discusses different numerical implementations of the crucial step of probability tuning, then presents two case studies that show results of the method and identify essential characteristics of the model that are vital for successful reaching the adjustment goal.
Index Terms:
Markov model, maintenance policy, model adjustment
Citation:
Jaroslaw Sugier, George J. Anders, "Modifying Markov Models of Ageing Equipment for Modeling Changes in Maintenance Policies," depcos-relcomex, pp.348-355, 2009 Fourth International Conference on Dependability of Computer Systems, 2009
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