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
Link To Document :
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