Please use this identifier to cite or link to this item:
|Title:||New state diagrams for probabilistic maintenance models|
|Citation:||Abeygunawardane, S.K., Jirutitijaroen, P. (2011-11). New state diagrams for probabilistic maintenance models. IEEE Transactions on Power Systems 26 (4) : 2207-2213. ScholarBank@NUS Repository. https://doi.org/10.1109/TPWRS.2011.2106226|
|Abstract:||Many probabilistic maintenance models developed for maintenance scheduling and optimization are based on state diagrams. Classical maintenance models based on state diagrams provide inaccurate results when inspection rates are nonperiodic. An attempt has been made to rectify some modeling properties through the use of an alternative graph; however, it requires Monte Carlo simulation to accurately calculate reliability. This paper highlights an idealistic property of classical state diagrams and proposes new state diagrams to correct it. The accuracy of Markov models based on proposed state diagrams is verified through a theoretical discussion. Significant differences between the results given by classical and proposed maintenance models are shown through a numerical example for imperfect maintenance. The behavior of mean time between failures is also analyzed to validate the proposed models. With the proposed model, reliability analysis of different maintenance activities can be calculated analytically without the use of Monte Carlo simulation. © 2006 IEEE.|
|Source Title:||IEEE Transactions on Power Systems|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Oct 18, 2018
WEB OF SCIENCETM
checked on Oct 2, 2018
checked on Oct 13, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.