Accelerated Life Testing Data Analysis

Learn ALT models, analysis and test design

Course overview - 3 days

Accelerated Life Testing Data Analysis covers the benefits, limitations, processes and applications of several proven accelerated test methods. It explores advanced concepts and applications for quantitative accelerated life testing data analysis, including tests with multiple stresses or time-dependent stresses.

You will use ReliaSoft ALTA software with hands-on practice and case study analysis.


Learning objectives

  • Significantly reduce the test time required to obtain reliability metrics for a product, which can result in faster time-to-market,
    lower product development costs and improved designs
  • Understand and quantify the effects of stress (or other factors) on product life
  • Design accelerated tests that will be the most effective to achieve desired objectives

Accelerated Life Testing Data Analysis
SMRP Approved Provider

Topics included

  • Theory of accelerated testing
  • Overview of stress loading models and analysis
  • Maximum likelihood methods for data analysis
  • Ascertaining model fit and verifying assumptions

  • How to interpret results for constant and time dependent stress levels
  • Accelerated test design considerations
  • Accelerated degradation and aging analysis

Who should attend

The Accelerated Life Testing Data Analysis course is for engineering professionals involved in reducing time to market by minimizing test time. It is also for those individuals that have a need to understand reliability when products are exposed to multiple stress inputs at the same time.

Recommended foundational course

Reliability Engineering Data Analysis and Modeling for Product Development