Brief Introduction
Learn the methods of reliability analysis and reliability-driven design of mechanical and electronic systems.
Description
The course is aimed at providing an engineering view (as opposed to a purely statistical view or a management view) of reliability analysis as well as reliable product design. The goal is to make the student familiar with both the statistical tools as well as the failure physics that enable one to model time to failure of products and to use such models during design phase to ensure reliable product designs.
Knowledge
- What You Will Learn:
- Probability rules and conditional probabilities
- Expectation and variance of continuous functions and their manipulation
- Failure rate modeling
- Normal, lognormal, exponential, Weibull, binomial and Poisson distributions
- Reliability, mean time to failure and availability
- Data fitting and reliability estimation
- Multimodal distributions and mixed multiple failure mechanisms
- Reliability block diagrams
- Monte Carlo simulation
- Load-strength interference and probabilistic design
- First-order reliability methods
- Accelerated tests and acceleration factors
- Time to failure modeling for selected failure mechanisms in mechanical and electronic systems
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