Skip to content
#

reliability-theory

Star

Here is 1 public repository matching this topic...

Amber-s-art / tool-wear-reliability-analysis

Star 0

A statistical analysis of the AI4I 2020 Predictive Maintenance dataset applying Reliability Theory. This project analyzes machine tool wear (Time-To-Failure) using Python, featuring distribution fitting, MLE/UMVUE parameter estimation, Kolmogorov-Smirnov goodness-of-fit testing, and the calculation of core reliability functions.

python data-science reliability-engineering jupyter-notebook pandas statistical-analysis scipy survival-analysis goodness-of-fit predictive-maintenance weibull-distribution distribution-fitting reliability-theory
  • Updated Apr 21, 2026
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the reliability-theory topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the reliability-theory topic, visit your repo's landing page and select "manage topics."

Learn more