Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)

The NASA Prognostic Python Packages is a Python framework focused on defining and building models and algorit for prognostics (computation of remaining useful life) of engineering systems, and provides a set of models and algorithms for select components developed within this framework, suitable for use in prognostic applications.

The NASA Prognostic Model Package is a Python framework focused on defining and building models for prognostics (computation of remaining useful life) of engineering systems, and provides a set of prognostics models for select components developed within this framework, suitable for use in prognostics applications for these components.

N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)

Bearing fault detection public datasets collection.

Unified PHM framework for Remaining Useful Life (RUL) prediction, fault diagnosis, fault detection, and anomaly detection for bearings, turbofan engines, and other industrial systems.

The Prognostic Algorithm Package is a python framework for model-based prognostics (computation of remaining useful life) of engineering systems, and provides a set of algorithms for state estimation and prediction, including uncertainty propagation. The algorithms take as inputs prognostic models (from NASA's Prognostics Model Package), and per…

Evolutionary Neural Architecture Search on Transformers for RUL Prediction

Remaining Useful Life (RUL) prediction for Turbofan Engines

remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, condition-based maintenance, CBM, predictive maintenance, PdM, prognostics health management, PHM

Tidy multi-material machine tool wear dataset for prognostics and health monitoring.

Multi-Objective Optimization of ELM for RUL Prediction

The NASA Prognostics As-A-Service (PaaS) Sandbox is a simplified implementation of a Software Oriented Architecture (SOA) for performing prognostics (estimation of time until events and future system states) of engineering systems. The PaaS Sandbox is a wrapper around the Prognostics Algorithms Package and Prognostics Models Package, allowing on…

An AI-driven Prognostics and Health Management (PHM) system for predictive maintenance. This project features a FastAPI for real-time condition monitoring, advanced models for fault detection, and Remaining Useful Life (RUL) prediction. It integrates digital twin concepts and Explainable AI (XAI) for transparent and reliable industrial asset manage

NASA Livingstone-2 Oliver and L2 engine in Java and C++

Automated processing and ML analysis of battery data from King County Metro hybrid-electric bus fleet

A Prognosis Webpage that leverages the power of Chat-gpt 3.5.

AeroBMS: A Physics-Informed Digital Twin & AI Predictive Maintenance dashboard for NASA Lithium-Ion batteries using XGBoost & Streamlit.