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
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.
1.0 MW Inverted Slotless BLDC Propulsion Engine & 5.0 kV 5-Level ANPC Kinetic Regeneration Suite for Hybrid-Electric Aerospace Propulsion (18.52 kW/kg Power Density)
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
Proyecto Grado Tecnologia Electricidad Industrial
Python tool to predict failure rates and reliability in the smart meter industry using Weibull analysis.
Engineering statistics in Python: validated methods, a 19-notebook course with real NIST data and worked solutions.
Reliability engineering in Python: life data analysis, reliability growth, accelerated testing, RBD, FMEA and fault trees — with the method decisions written down where the code makes them.
This repository explores the integration of Machine Learning with the Weibull Distribution to improve the accuracy of Remaining Useful Life (RUL) estimations. By treating the Weibull scale parameter ( λ ) as a dynamic target for regression, these projects bridge the gap between statistical reliability analysis and modern data-driven maintenance.
Interactive Reliability Probability Plots
Free Excel-based Weibull and Crow-AMSAA reliability analysis toolkit.
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
Fiabilité Prédictive et Stress-Test d'une Infrastructure Cloud
Optimizing preventive maintenance intervals for industrial pumps using Weibull analysis and NSGA-II
A Shiny App for Reliability Analysis
Learning Modules for Reliability Analysis
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