Statistical Methods for Reliability Studies

In industrial applications, reliability is crucial and testing is expensive. Collected data must be exploited in the best way possible. Reliability data possess specific features that call for dedicated statistical methods. Learn about statistical tools for reliability analysis.

Course Outline

The recommended duration for this course is 2 online session(s).

The most popular version of this course comprises 2 sessions described as follows:

Session 1: Modelling Time-to-Failure Data (Life Data)
• Reliability & life: common questions
• Life data: specific features
• Need for survival/life data methodology
• Modeling survival curves from data approaches:
• Non-parametric
• Parametric

Session 2: Predicting Survival Time & Advanced methods
• Regression for life data
• Cox regression

Target Audience

This module is intended for engineers who want to improve the way to design and analyse reliability studies with the increased knowledge of the most recent tools in this field. It is also intended for people who need to evaluate the scope and validity of reliability studies.This module introduces the important ideas in statistics and data analysis applied to the field of shelf-life and stability studies. It assumes that participants have no previous knowledge of statistics or that they have not used such notions in a long time.