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New Reliability Engineering Study Findings Recently Were Reported by Researchers at Technical University (Asymptotic optimality of RESTART estimators...

August 27, 2014

New Reliability Engineering Study Findings Recently Were Reported by Researchers at Technical University (Asymptotic optimality of RESTART estimators in highly dependable systems)

By a News Reporter-Staff News Editor at Journal of Engineering -- Researchers detail new data in Reliability Engineering. According to news originating from Madrid, Spain, by VerticalNews editors, the research stated, "We consider a wide class of models that includes the highly reliable Markovian systems (HRMS) often used to represent the evolution of multi-component systems in reliability settings. Repair times and component lifetimes are random variables that follow a general distribution, and the repair service adopts a priority repair rule based on system failure risk."

Our news journalists obtained a quote from the research from Technical University, "Since crude simulation has proved to be inefficient for highly-dependable systems, the RESTART method is used for the estimation of steady-state unavailability and other reliability measures. In this method, a number of simulation retrials are performed when the process enters regions of the state space where the chance of occurrence of a rare event (e.g., a system failure) is higher. The main difficulty involved in applying this method is finding a suitable function, called the importance function, to define the regions. In this paper we introduce an importance function which, for unbalanced systems, represents a great improvement over the importance function used in previous papers. We also demonstrate the asymptotic optimality of RESTART estimators in these models."

According to the news editors, the research concluded: "Several examples are presented to show the effectiveness of the new approach, and probabilities up to the order of 10(-42) are accurately estimated with little computational effort."

For more information on this research see: Asymptotic optimality of RESTART estimators in highly dependable systems. Reliability Engineering & System Safety, 2014;130():115-124. Reliability Engineering & System Safety can be contacted at: Elsevier Sci Ltd, The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, Oxon, England. (Elsevier -; Reliability Engineering & System Safety -

The news correspondents report that additional information may be obtained from J. Villen-Altamirano, Technical Univ Madrid, Dept. of Appl Math, Madrid 28031, Spain.

Keywords for this news article include: Spain, Madrid, Europe, Reliability Engineering

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Source: Journal of Engineering

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