Probability and its applications to reliability, quality control, and risk assessment
Master
In Maynard (USA)
Description
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Type
Master
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Location
Maynard (USA)
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Start date
Different dates available
This course covers interpretations of the concept of probability. 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.
Facilities
Location
Start date
Start date
Reviews
Subjects
- Probability
- Quality Training
- IT risk
- Engineering
- Systems
- Quality
- Risk
- Risk Assessment
Course programme
Lectures: 2 sessions / week, 1.5 hours / session
Probabilistic risk and reliability analyses provide methods for integrating the contribution of all contributors to ultimate system performance. They also permit the effects of uncertainties to be reflected directly in the understanding of system outcomes. In order to do this correctly, a good understanding of probabilistic concepts and methods is essential. This subject covers all of these topics.
Ang, A. H-S., and W. H. Tang. Probability Concepts in Engineering Planning and Design, vol. 1, Basic Principles. New York, NY: John Wiley & Sons, 1975. ISBN: 9780471032007.
Rausand, M., and A. Hoyland. System Reliability Theory: Models, Statistical Methods, and Applications. 2nd ed. New York, NY: John Wiley & Sons, 2003. ISBN: 9780471471332.
Homework is assigned approximately weekly, due two class sessions after the date of assignment.
Late homework will receive up to 1/2 full credit.
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Probability and its applications to reliability, quality control, and risk assessment