 |
VOOZH | about |
Reliability engineering toolkit for Python - https://reliability.readthedocs.io/en/latest/
Statistical methods and visualizations often used in reliability engineering including the well-known weibull analysis and Monte Carlo simulations
Estimating life expectancy for users' hard drive disks thanks to Python scripts and a statistic analysis based on BackBlaze open data and our Weibull curve model
Python tool to predict failure rates and reliability in the smart meter industry using Weibull analysis.
Fiabilité Prédictive et Stress-Test d'une Infrastructure Cloud
End-to-end workflow on synthetic accelerated life test (ALT) data: dataset generation, Kaplan–Meier survival analysis, Weibull-2P modeling, and Arrhenius temperature acceleration. Includes Py scripts, Jupyter notebooks, plots, and CSV outputs.
These are graphical plots of reliability data which are quick and useful visual test to determine if a particular model is consistent with an observed data from an operating system or manufacturing equipment
Learning Modules for Reliability Analysis
Add a description, image, and links to the weibull-analysis topic page so that developers can more easily learn about it.
To associate your repository with the weibull-analysis topic, visit your repo's landing page and select "manage topics."