Reliability studies are a type of research or experimental design focused on assessing and improving the reliability of systems, products, or processes. In these studies, the goal is to determine how consistently and dependably a system or product performs over time and under varying conditions. Reliability refers to the ability of a product, system, or component to function as intended without failure, across its expected lifespan or under specified conditions.
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
- Regression for life data
- Cox regression