Life Testing and Reliability Analysis

Course Description

This course is specifically designed to meet the analytical needs of those individuals working within FDA regulated industries. Areas of focus are distribution analysis, area under the curve estimation, hypothesis testing, life and survival estimation, thermal sensitivity, confidence intervals and multiple factor modeling. The course requires 8 hours of instruction.

Attendees

This course 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.

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Prerequisites

Engineering Statistics and Data Analysis is a recommended course prior to taking LTRA.

Course Objectives

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.

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