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pro vyhledávání: '"K. V. Bury"'
Autor:
K. V. Bury
Publikováno v:
Journal of Engineering for Industry. 96:1291-1295
The probabilistic approach to design is developed and contrasted with the conventional safety factor approach. A careful interpretation of random variable design inputs is given, leading to a statistical extreme-value model of loads. In addition to t
Autor:
K. V. Bury
Publikováno v:
Statistische Hefte. 19:197-203
A system comprising k identical components is considered. The system load that is common to all components is treated as a random variable, modeled by a one-parameter Exponential distribution. Each component's resistance to load is also taken as a ra
Autor:
K. V. Bury
Publikováno v:
Engineering Optimization. 3:215-220
This paper considers the optimum static design of a device or structure that is exposed to a finite sequence or loads. The number of loads in that sequence is assumed known. Both loads and relevant material properties are treated as random variables.
Publikováno v:
Journal of Engineering for Gas Turbines and Power. 107:555-559
A new test procedure is proposed for the field acceptance testing of large hydroelectric turbines. This procedure is an improvement over existing procedures in that it generates test data from which a statistical estimate of turbine efficiency as wel
Autor:
K. V. Bury, K. J. W. Spurr
Publikováno v:
Journal of Turbomachinery. 111:193-196
A Bayesian error analysis is developed for treating systematic and random errors of field test data from acceptance tests of large hydraulic turbine installations. A practical procedure is suggested for allocating test points among power levels for a
Autor:
K. V. Bury
Publikováno v:
Statistische Hefte. 16:105-114
The asymptotic distribution of the first order statistic X(1) of log-Normal and Gamma samples is considered. The parameters of this extreme value asymptote (Weibull distribution) are approximated in terms of the initial sample size n and the paramete
Autor:
K. V. Bury
Publikováno v:
Statistische Hefte. 14:111-122
The method of structural inference is employed to develop the unique probability density functions for the location and scale parameters of the double exponential distribution which is the asymptotic statistical model of maximal extreme values. The c
Autor:
B. Bernholtz, K. V. Bury
Publikováno v:
Statistische Hefte. 12:177-192
The method ofstructural inference permits the construction of unique probability density functions for the parameters of a general location-scale distribution; these densities are only conditional on a sample of observations.
Autor:
K. V. Bury
Publikováno v:
IEEE Transactions on Reliability. :258-260
This paper presents a simple design problem to illustrate the relationship between product reliability and design strength for the case where product failure is due to a single overload in a sequence of loads applied during the mission of the product