A set-theoretic method for parametric uncertainty analysis in markov reliability and reward models

Keyphrases

• Uncertainty Analysis 100%
• Parametric Uncertainty 100%
• Markov Reliability Models 100%
• Performability 100%
• Set-theoretic Methods 100%
• Markov Reward Model 100%
• Engineering Fields 50%
• Two-component 50%
• Stationary Distribution 50%
• Markov Chain 50%
• Engineering Judgment 50%
• Ellipsoid 50%
• Repair Rate 50%
• Preventive Maintenance 50%
• Loading System 50%
• Minimum Volume Ellipsoid 50%
• Component Failure Rate 50%
• Electric Power Distribution 50%
• Common Cause Failure 50%
• Distribution Transformer 50%
• Second-order Taylor Expansion 50%
• Component Repair 50%
• Set Operations 50%

Engineering

• Parametric Uncertainty 100%
• Reward Model 100%
• Engineering Judgement 50%
• Electric Power Distribution 50%
• Model Parameter 50%
• Field Data 50%
• Component Failure 50%
• Load System 50%
• Set Operation 50%
• Taylor Series Expansion 50%
• Minimum Volume Ellipsoid 50%
• Preventative Maintenance 50%
• Common Cause Failure 50%
• Distribution Transformer 50%

Mathematics

• Parametric 100%
• Theoretic Method 100%
• Approximates 50%
• Upper Bound 50%
• Ellipsoid 50%
• Lower and upper bounds 50%
• Taylor Series Expansion 50%
• Field Data 50%
• Markov Chain 50%