Learn Life Data Analysis (Weibull Analysis)

G400A is a truncated version of G400 and covers only the first three days of that course. It introduces and familiarizes the attendee to the core concepts in reliability engineering mathematics and focuses on the fundamentals of Weibull and Life Data Analysis.

G400A presents concepts and software that will help you to understand how life data analysis methodologies can be applied when you need to understand and communicate how a product will perform over time, such as:

• Setting meaningful reliability targets, demonstrating whether an item meets the specification and/or effectively communicating performance estimates to management.
• Identifying whether an item will experience infant mortality and/or wearout and making predictions about performance during the useful life (or warranty) period.
• Evaluating suppliers and/or comparing designs based on reliability.

Course Outline

Introduction to reliability engineering principles and methods

• Overview of reliability engineering theory and related mathematics, metrics and applications

Fundamentals of life data analysis and applications

• Review of relevant statistical concepts
• Reliability data types and censoring schemes
• Reliability metrics and their interpretation
• In-depth look at the Weibull distribution
• Other lifetime distributions
• Parameter estimation methods
• Confidence bounds
• Mixed Weibull distribution
• Competing failure modes analysis
• Degradation data analysis
• Warranty data analysis
• Model and data set comparisons
• Reliability test design
• Reliability demonstration
• Stress-strength analysis
• Case studies and hands-on practice using Weibull++