Life Testing and Reliability Analysis

Course Description:
Life Testing and Reliability Analysis is specifically designed to meet the analytical
needs of those individuals working within a variety of industries. Areas of focus
include: distribution analysis, area under the curve estimation, hypothesis testing,
life and survival estimation, thermal sensitivity, confidence intervals and multiple
factor modeling. Presentation of the course material is designed for 8 hours of
instruction.

Attendees:
Life Testing and Reliability Analysis is required for all scientists, engineers and quality
professionals who actively work on all aspects of discovery, product and process
development where the goal is to characterize, optimize and improve product and
process performance.

  

Course Objectives:
Upon completion of the course the participants will be able to:

  1. Determine product reliability performance.
  2. Understand and apply non-parametric reliability analysis.
  3. Understand and apply parametric reliability analysis.
  4. Perform multivariate reliability assessment.
  5. Understand and apply recurrence analysis.
  6. Use Arrhenius transformations in reliability modeling.
  7. Select appropriate sample sizes for MTBF studies.
  8. Model reliability improvement using reliability growth models.

Prerequisites:  Engineering Statistics and Data Analysis is a recommended
prerequisite for this course.

Detailed Course Outline:

Introduction to reliability analysis and basic statistics
Nonparametric reliability analysis (Kaplan-Meier)
Parametric reliability analysis (LogNormal, Exponential, Weibull)
Competing Causes
Lifetime distribution analysis
Fit Life by X
Multivariate reliability analysis (Parametric Survival)
Recurrence analysis
MTBF analysis
Reliability growth analysis