DocumentCode
3251112
Title
A realistic maintenance model based on a new state diagram
Author
Abeygunawardane, Saranga K. ; Jirutitijaroen, Panida
Author_Institution
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
fYear
2010
fDate
14-17 June 2010
Firstpage
299
Lastpage
303
Abstract
Equipments that deteriorate over its useful life are subjected to regular inspection and maintenance to prevent failures. These scheduled maintenance activities are frequently modeled using a state diagram due to its simplicity. However, maintenance models based on classical state diagrams provide invalid results when inspection rates are non periodic. This paper discusses the mismatches of the model properties of classical state diagrams with the maintenance situation in the real world. We propose a new state diagram which represents the maintenance situation in the real world. The classical state diagram and the proposed state diagram are analyzed using Markov methods in a numerical example to compute performance measures. These results are compared with the results obtained by conducting Monte Carlo simulation according to practical and realistic inspection and maintenance procedures. It is shown that the classical state diagram can be replaced with the proposed state diagram to obtain an accurate maintenance model, which represents the real situation and provides valid results.
Keywords
Markov processes; Monte Carlo methods; inspection; maintenance engineering; power system management; power system simulation; Markov methods; Monte Carlo simulation; classical state diagrams; inspection procedures; inspection rates; maintenance procedures; maintenance situation; model properties; realistic maintenance model; scheduled maintenance activities; Aging; Frequency; Graphical models; Inspection; Mathematical model; Performance analysis; Predictive maintenance; Preventive maintenance; Processor scheduling; Reliability; Markov methods; maintenance model; realistic; state diagrams;
fLanguage
English
Publisher
ieee
Conference_Titel
Probabilistic Methods Applied to Power Systems (PMAPS), 2010 IEEE 11th International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-5720-5
Type
conf
DOI
10.1109/PMAPS.2010.5528837
Filename
5528837
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