DocumentCode :
3176915
Title :
Availability with input uncertainties using an interval-based approach
Author :
Galdino, Sérgio ; Maciel, Paulo
Author_Institution :
Polytech. Sch., Pernambuco Univ., Recife, Brazil
fYear :
2010
fDate :
10-13 Oct. 2010
Firstpage :
298
Lastpage :
303
Abstract :
In availability predictive analysis not every model input parameter is known exactly when the model is developed. The sources of uncertainties include lack of data and lack of knowledge about physical systems. In this paper, we present a reliable mechanism to help improve evaluation robustness when significant uncertainties exist. The mechanism incorporates variabilities and uncertainties based on imprecise distribution parameters in the availability evaluations are intervals instead of precise real numbers. The analysis takes into account the effects of variabilities in MTTR and MTTF when calculating interval availabilities. Interval studies of availability models should be used to show the influence of input parameters uncertainties on resultant availability evaluation. Interval methods and interval arithmetics have been applied in Scilab toolbox Int4Sci framework for steady state solution of availability models.
Keywords :
Petri nets; reliability theory; Int4Sci toolbox; availability predictive analysis; imprecise distribution parameter; interval-based approach; mean time to failure; mean time to repair; model input parameter; reliability mechanism; Availability; Books; Keyboards; Monitoring; Servers; Availability; Interval Analysis; Interval Arithmetic; Reliability Block Diagram (RBD);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
Conference_Location :
Istanbul
ISSN :
1062-922X
Print_ISBN :
978-1-4244-6586-6
Type :
conf
DOI :
10.1109/ICSMC.2010.5641675
Filename :
5641675
Link To Document :
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