Course

Course Summary
Credit Type:
Course
ACE ID:
SOEL-0197
Organization's ID:
82526
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 build upon the design foundations of Reliability Engineering 1 by providing evaluation methodologies for the analysis of failure data from tests and experiments collected under conditions that have resulted in complete data, right or left censored data, quantal data, truncated data and mixtures of exact, interval, and censored data. Includes parametric and nonparametric approaches based on maximum likelihood estimation, product limit estimators, test design principles, and provides an introduction to accelerated testing.

Learning Outcomes:

  • Expand upon the design foundation presented in Reliability Engineering I and synthesize and apply additional principles of reliability theory to estimate, model, and evaluate as appropriate both theoretical and applied exercises
  • Apply the results of these syntheses toward solutions in a variety of problems spanning a variety of data collection and testing scenarios

General Topics:

  • Reliability models, data types, and likelihood, parametric data analysis and test planning, failure distribution linearization and data plotting, multicensored data analysis and acceleration models
Instruction & Assessment

Instructional Strategies:

  • Audio Visual Materials
  • Classroom Exercise
  • Discussion
  • Learner Presentations
  • Lectures
  • Practical Exercises
Supplemental Materials