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This course covers interpretations of the concept of probability.
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English [CC]
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Description
Topics include basic probability rules; random variables and distribution functions; functions of random variables; and applications to quality control and the reliability assessment of mechanical/electrical components, as well as simple structures and redundant systems. The course also considers elements of statistics; Bayesian methods in engineering; methods for reliability and risk assessment of complex systems (event-tree and fault-tree analysis, common-cause failures, human reliability models); uncertainty propagation in complex systems (Monte Carlo methods, Latin Hypercube Sampling); and an introduction to Markov models. Examples and applications are drawn from nuclear and other industries, waste repositories, and mechanical systems
Course content
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- Risk, Event Trees and Fault Trees Unlimited
- Reliability and Availability Unlimited
- Structure Functions Unlimited
- Valve Test Example Unlimited
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- Basic Probabilistic Concepts Unlimited
- Convergence of Binomial and Normal Distributions for Large Numbers of Trials Unlimited
- Convergence of Binomial and Poisson Distributions in Limiting Case of n Large, p<<1 Unlimited
- Plane Crash Example Unlimited
- Failure, Repair, Maintenance Unlimited
- Reliability and Availability Unlimited
- Operational Availability Unlimited
- PRA: An Historical Perspective Unlimited
- PRA Structure and Results Unlimited
- Uncertainty Unlimited
- Types of Uncertainty Unlimited
- Common Cause Failures 1 Unlimited
- Common Cause Failures 2 Unlimited
- PRA in Managing Operations Unlimited
- Engineered Safety Features Unlimited
- Containment Unlimited
Instructor
