Sensitivity analysis aims at quantifying influence of input parameters dispersion on the output dispersion of a numerical model. When the model evaluation is time consuming, the computation of Sobol' indices based on Monte Carlo method is not applicable and a surrogate model has to be used. Among all approximation methods, polynomial chaos expansion is one of the most efficient to calculate var...

BACKGROUND Post-stroke fatigue (PSF) is a common complaint among stroke survivors and has significant impacts on recovery and quality of life. Limited tools that measure fatigue have been validated in stroke. AIM The purpose of this study was to determine the psychometric properties of Fatigue Severity Scale (FSS) in patients with stroke. DESIGN Cross-sectional study. SETTING Teaching hos...

This research work presents a linear contribution factor model (LCFM) between a component’s contribution to reliability indices and the failure rate of the component in distribution systems. This linear model can be applied to risk analysis (based on Monte Carlo simulation) and sensitivity analysis. Traditional approaches for both analyses require many repetitions of reliability index assessmen...

Reliability analysis of the electrical control system of a subsea blowout preventer (BOP) stack is carried out based on Markov method. For the subsea BOP electrical control system used in the current work, the 3-2-1-0 and 3-2-0 input voting schemes are available. The effects of the voting schemes on system performance are evaluated based on Markov models. In addition, the effects of failure rat...

deregulation policy has caused some changes in the concepts of power systems reliability assessment and enhancement. in this paper, generation reliability is considered, and a method for its assessment using intelligent systems is proposed. also, because of power market and generators’ forced outages stochastic behavior, monte carlo simulation is used for reliability evaluation. generation reli...

Aim. Reliability evaluation of a system or component element is very important in order to predict its availability and other relevant indices. the parameter which tells about under proper working conditions for given period time. The study different reliability indices are considering complex uncertain nature power system. Methods. uses classical methods theory respect with constant failure ra...