Estimation of Extreme Responses and Failure Probability of Wind Turbines under Normal Operation by Controlled Monte Carlo Simulation

Engineering

• Failure Probability 100%
• Extreme Response 100%
• Fokker 100%
• Wind Turbine 100%
• Probability Density Function 60%
• Applicability 40%
• Probability Density 40%
• Assuming 40%
• Gaussian White Noise 20%
• Statistical Moment 20%
• Degree of Freedom 20%
• Random Variable ξ 20%
• Stochastic Differential 20%
• Subset Simulation 20%
• Blade Root 20%
• Sampling Density 20%
• Failure Surface 20%
• Parameter Vector 20%
• Sampling Interval 20%
• Propose Method 20%
• Structural Dynamics 20%
• Wind Turbines Design 20%
• Computational Cost 20%
• Realization 20%
• Numerical Solution 20%
• Mass Distribution 20%

Mathematics

• Probability Theory 100%
• Monte Carlo 100%
• Extreme Value 42%
• Probability Density Function 42%
• Asymptotics 28%
• Extreme Value Distribution 28%
• probability density ρ 28%
• Dynamic Problem 28%
• Computational Cost 14%
• Stochastic Differential Equation 14%
• Importance Sampling 14%
• Monte Carlo Technique 14%
• Russian Roulette 14%
• Gaussian Distribution 14%
• Rare Event 14%
• Variance Reduction 14%
• True Probability 14%
• Fokker-Planck-Kolmogorov Equation 14%
• Sample Weight 14%
• Narrow Range 14%
• Random Variable 14%
• Stochastic Process 14%
• White Noise 14%
• Distribution Mass 14%
• Markov Chain Monte Carlo 14%
• Degree of Freedom 14%
• Numerical Solution 14%
• Sampling Interval 14%
• Parameter Vector 14%

Keyphrases

• Missing Probability 20%
• Seek Time 20%
• Statistical Weight 20%
• Root Stress 20%
• Generalized Density 20%
• Fokker-Planck-Kolmogorov (FPK) Equation 20%
• Line Moments 20%