Course

Course Summary
Credit Type:
Course
ACE ID:
SOEL-0196
Organization's ID:
RRENG 82525
Location:
Classroom-based
Length:
8 weeks (60 hours)
Dates Offered:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Graduate 3 Industrial Engineering or Reliability Engineering
Student must achieve a minimum of 80 percent for graduate credit.
Description

Objective:

The course objective is to provide a comprehensive treatment of the primary probabilistic and statistical methods used in reliability engineering, including the situation when the response is Pass/Fail (binary) in nature as well as when time-to-failure applies.

Learning Outcomes:

  • Create, design and use various types of reliability block diagrams (RBDs), for example, series, parallel, partial redundancy, shared load, and time-dependent models
  • Create, by at least two procedures, a lower confidence bound on reliability, given the total number of items tested and the number of failures observed
  • Estimate the accuracy of the approximate methods and discuss their limitations, given either the reliability function or the probability function for time to failure for a device or system
  • Analyze RBDs for reliability and mean time to failure
  • Generate the hazard rate function and assess its behavior versus a reliability target, goal or requirement
  • Apply the Monte Carlo simulation method to estimate reliability for a complex system for both the static and the time-to-failure case
  • Compute key reliability measures and estimates and use these to evaluate alternative designs

General Topics:

  • System reliability, failure density functions, hazard functions, analysis of Pass/Fail test data, Monte Carlo simulation of reliability problems, quantitative failure analysis, and failure modes, effects and criticality analysis
Instruction & Assessment

Instructional Strategies:

  • Case Studies
  • Classroom Exercise
  • Computer Based Training
  • Discussion
  • Lectures
  • Practical Exercises
Supplemental Materials