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 - www.elsevier.com; Reliability Engineering & System Safety - www.elsevier.com/wps/product/cws_home/405908)
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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