An artificial neural network for modeling reliability, availability and maintainability of a repairable system

P.S. Rajpal, K.S. Shishodia and G.S. Sekhon

Reliability Engineering and System Safety, 2006, vol. 91, issue 7, 809-819

Abstract: The paper explores the application of artificial neural networks to model the behaviour of a complex, repairable system. A composite measure of reliability, availability and maintainability parameters has been proposed for measuring the system performance. The artificial neural network has been trained using past data of a helicopter transportation facility. It is used to simulate behaviour of the facility under various constraints. The insights obtained from results of simulation are useful in formulating strategies for optimal operation of the system.

Keywords: Repairable system; RAM; Artificial neural network; Composite measure (search for similar items in EconPapers)
Date: 2006
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Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:91:y:2006:i:7:p:809-819

DOI: 10.1016/j.ress.2005.08.004

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