Accelerated Life Testing Analysis

Accelerated Life Testing Analysis covers the benefits, limitations, theory and procedure behind several proven accelerated test analysis methods. It explores advanced concepts and applications for quantitative accelerated life testing data analysis, including tests with multiple stresses, categorical stresses or time-dependent stresses. This builds on the life data analysis concepts covered in Fundamentals of Reliability.

Software used

This course teaches attendees how quantitative accelerated life test data can be analyzed to make reliability predictions with Weibull++'s Accelerated Life Testing module via hands-on examples and case studies.

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Learning objectives

Understand the theory and practice of projecting life data models at high stress to use stress levels
Identify when and how to use different life-stress relationships
Calculate acceleration factors and compare reliability metrics between populations at different stress levels
Apply statistical tools for developing effective accelerated test designs and verifying the validity of calculated results
Make reliability estimates based on accelerated life test results using reliability statistics, plots and confidence intervals

Topics included

Life-stress relationships for different failure phenomena
Single, multiple and time-varying stress calculations

Categorical stress analysis and comparison
Accelerated degradation analysis

Accelerated life test planning
Stress modeling validation

Who should attend

The Accelerated Life Testing Analysis course is for engineers and technicians who are familiar with life data analysis and need to expand those concepts to accelerated test design and data analysis using Weibull++.

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