Reliability in Engineering Design (edX)

Reliability in Engineering Design (edX)
Course Auditing
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Undergraduate mechanics of materials course. A learner should understand (or be willing to learn) the concepts of shear force, bending moment, and stress.
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Reliability in Engineering Design (edX)
Learn the methods of reliability analysis and reliability-driven design of mechanical and electronic systems. 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.

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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.




This course is part of the Reliability and Decision Making in Engineering Design MicroMasters Program


What you'll 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


Syllabus


Week 1:

Introduction and Overview

Rules of Probability


Week 2:

Probability Examples

Conditional Probability


Week 3:

Expectations and Variance Definition

Expectation and Variance of Continuous Functions

Normal Distribution PDF and CDF


Week 4:

Load-Strength Interference Theory

Load-Strength Interference Examples


Week 5:

Material Degradation and Time to Failure Modeling

Practice Problems for Test 1


Week 6:

Lognormal Distribution, Reliability, Hazard Rate and MTTF

Test 1


Week 7:

Exponential Distribution and Examples of MTTF Estimation

Weibull Distribution


Week 8:

Multimodal Distributions and Mixed Multiple Failure Mechanisms

Goodness of Fit


Week 9:

Binomial and Poisson Distributions

Practice Problems for Test 2


Week 10:

Reliability Block Diagrams

Test 2


Week 11:

Monte Carlo Simulation

Uncertainty in Geometry, Load and Strength

Covariance and Correlation


Week 12:

-Covariance and Correlation Examples

First Order Reliability Methods Introduction


Week 13:

- First Order Reliability Methods Examples

- Reliability Review During Design


Week 14:

- Accelerated Degradation

- Accelerated Testing and Acceleration Factors

- Practice Problems for Test 3


Week 15:

- Time to Failure Models for Mechanical Systems

- Test 3



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Course Auditing
1882.00 EUR
Undergraduate mechanics of materials course. A learner should understand (or be willing to learn) the concepts of shear force, bending moment, and stress.

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.