Learning Objective:Enables students to understand the importance of reliability and quality in the design and manufacture of engineered products, components and systems. The methods of reliability analysis and reliability-based design of mechanical and electronic systems are presented with illustrative examples.
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. The major topics that will be covered include: probability and random variables; normal, exponential and Weibull distributions and their manipulation; reliability estimation and plotting; uncertainty quantification, load-strength analysis, Monte Carlo simulation, and first order reliability methods; reliability of mechanical and electronic systems; accelerated testing and acceleration factors; selected failure mechanisms and time to failure modeling of mechanical and electronic systems.
Topics Covered:Introduction; probability rules; probability examples; conditional probability; algebra of expectations and variance; normal, lognormal, exponential and Weibull distributions; load strength interference; failure rate modeling; binomial and Poisson distributions; reliability block diagrams; Monte Carlo simulation; uncertainty in load and in geometry; first-order reliability methods; time to failure modeling for selected failure mechanisms in mechanical and electrical systems.
Spring 2018 Syllabus