There are 4 repositories under reliability-analysis topic.
Survival analysis in Python
Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events
Uncertainty Quantification in Julia
A Python package for survival analysis. The most flexible survival analysis package available. SurPyval can work with arbitrary combinations of observed, censored, and truncated data. SurPyval can also fit distributions with 'offsets' with ease, for example the three parameter Weibull distribution.
Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification
A toolbox for the calibration and evaluation of simulation models.
Statistical methods and visualizations often used in reliability engineering including the well-known weibull analysis and Monte Carlo simulations
Course repository for learning R for Cornell course SYSEN 5300: Systems Engineering and Six Sigma for the Design and Operation of Reliable Systems
A Python3 library of test functions from the uncertainty quantification community with a common interface for validation and benchmarking purposes.
PARANSYS (Python pArametric Reliability Analysis on ANSYS) is a module that can connect the ANSYS software to Python scripts using APDL scripts. It has one connection class and two other classes for reliability analysis, using explicit or implicit limit states.
Internet reliability check - CLI tool
Framework to perform content-based diversity analysis and reliability analysis
Energy system simulation framework that optimizes generation portfolios using AI-based genetic algorithms. Models hourly power dispatch, battery management, and source failures over multi-year horizons to evaluate reliability and economic performance of diverse energy mixes.
Программа для анализа надежности электронных средств.
Simulation and generation of synthetic reliability-related data.
An open-source framework demonstrating LLMs for complex semantic analysis of unstructured wind turbine maintenance logs. It generates deeper reliability insights by identifying failure modes, inferring causal chains, and uncovering site-specific operational patterns, enhancing data-driven O&M in the wind energy sector.
Weibull series system estimation from data with censored lifetimes and masked component cause of failure.
L-Moments, Censored L-Moments, Trimmed L-Moments, L-Comoments, and Many Distributions
Evaluate high school math reasoning in LLMs with baseline and Chain-of-Thought (CoT) prompts. Includes confidence calibration metrics, JSON output parsing, and reliability analysis.
This Project is a study of the patient’s survival rate due to heart failure condition caused by cardiovascular diseases. Various factors causing the disease were analyzed with the use of reliability analysis and software to model and predict patients’ survival.
Codes for estimates of intensity functions parameters of multivariate counting processes and density estimation for latent variable.
Evaluate the ability of system to function without failure
Estimating survival predictions
Factor Analysis for survey data
Statistical reliability library for rust (educational purpose)
Repos for On the Reliability and Explainability of Language Models for Program Generation
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.
InformationPropagationAnalysis.jl
Reliability models implemented in Python
XGBoost Predictive Maintenance Modeler for Estimating Time-To-Failure
Simple screening Tool to compare Power system configuration and availability for Data Centers that rely on "off-grid" power.