Results 261 to 270 of about 2,648,329 (307)

Estimating Failure Probabilities

2019
System failure describes an undesired configuration of an engineering device, possibly leading to the destruction of material or a significant loss of performance and a consequent loss of yield. For systems subject to uncertainties, failure probabilities express the probability of this undesired configuration to take place.
ter Maten, E. Jan W., Beelen, T.G.J., Di Bucchianico, Alessandro, Pulch, Roland, Römer, Ulrich, De Gersem, Herbert, Janssen, H.H.J.M. (Rick), Dohmen, J.J., Tasic, B., Gillon, Renaud, Wieers, A.P.M.J., Deleu, Frederik   +11 more
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Probability of Component or Subsystem Failure Before System Failure

IEEE Transactions on Reliability, 1983
Summary: A method of determining the probability of having a given set of components failed and another set of components working at the time of system failure is based on the notion of boundary probability. The method is simple and easily applied to any s-coherent system for which the reliability structure is known.
Buzacott, John A., Anders, George J.
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Failure probability analysis of heliostat systems

International Journal of Critical Infrastructures, 2020
Heliostats represent the most important maintenance cost in the solar power tower plant. The aim of this work is to provide a failure probability analysis for heliostat design in order to minimize this maintenance cost. Based on mechanics of material study and wind aerodynamic analysis, a performance function, with five random variables, has been ...
Samir Benammar, Kong Fah Tee
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On estimation of failure probability

Reliability Engineering & System Safety, 1988
Abstract A method is proposed for estimation of failure probability P f = P(S − R > 0) for a component of strength R subject to a stress S. The method, which is based on statistical modelling of the tail of the distribution for S-R, makes no assumption concerning the form of the distribution for R and S.
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An innovative estimation of failure probability function based on conditional probability of parameter interval and augmented failure probability

Mechanical Systems and Signal Processing, 2019
Abstract The failure probability function (FPF) is defined as a function of failure probability varying with the design parameters of random inputs, and it is usually estimated in advance to transform reliability-based design optimization into ordinary one.
Kaixuan Feng, Zhenzhou Lu, Chunyan Ling, Wanying Yun   +3 more
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Improved Bounds for System-Failure Probability

IEEE Transactions on Reliability, 1987
The inclusion-exclusion formula can be used to obtain upper and lower bounds on system-failure probability. This paper shows that the bounds can be improved by using information contained in them. Algorithms are provided to find the improved probability bounds, along with examples.
Fong, Clement C., Buzacott, John A.
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Choice of Failure Probabilities

Journal of the Structural Division, 1967
The choice of an optimum level of structural safety for one type of failure is formulated on the basis of the minimum expected loss criterion applied to an idealized basic scheme. Limits of sensitivity to initial costs are introduced and shown to lead to limits on sensitivity to failure probability.
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On system failure probability density function

Reliability Engineering & System Safety, 2007
Abstract The assessment of the system unreliability is usually accomplished through well-known tools such as block diagram, fault tree, Monte Carlo and others. These methods imply the knowledge of the failure probability density function of each component “k” (pdf p k ).
Campioni L., VESTRUCCI, PAOLO
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FAILURE PROBABILITY OF WIRE BONDING PACKAGES

Recent Advances in Computational Science and Engineering, 2002
This paper presents a methodology/model for elastro-plastic analysis of the wire bonding packages. The methodology is based on finite element method for rate sensitive materials and applicable to very large deformation processes. Ultrasonic power is simulated as displacement boundary condition.
F. Wang, Y. Y. Wang, C. Lu
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Tight Bound on NewHope Failure Probability

IEEE Transactions on Emerging Topics in Computing, 2022
Thomas Plantard, Arnaud Sipasseuth, Willy Susilo, Vincent Zucca   +3 more
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