Material Detail
22.38 Probability And Its Applications To Reliability, Quality Control, And Risk Assessment | Nuclear Science and Engineering
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.
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More about this material
- Material Type:
- Learning Object Repository
- Date Added to MERLOT:
- May 12, 2016
- Date Modified in MERLOT:
- December 15, 2019
- Author:
- Unknown (Know the author?)
- Submitter:
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Barbra Bied Sperling
- Primary Audience:
- Graduate School
- Technical Format:
- Website
- Mobile Compatibility:
- Not specified at this time
- Language:
- English
- Cost Involved:
- No
- Source Code Available:
- No
- Creative Commons:
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This work is licensed under a Attribution-NonCommercial-ShareAlike 3.0 United States
