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

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)

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…

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.

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

Multi-Objective Optimization of ELM for RUL Prediction

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

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…

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

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

Statistical data analysis of the myocardial infarction for life or death prognosis using PCA method

A repository containing all data and project files pertaining to my Thesis.

Wesendrup, Kevin; Hellingrath, Bernd (2023): ML2-enabled Condition-based Demand, Production, Inventory, and Maintenance Planning. In : IFAC World Congress 2023. IFAC World Congress 2023, pp. 7182–7187.