nasa/progpy

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.

Language: Python - Size: 35.2 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 85 - Forks: 15

nasa/prog_models

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.

Size: 12.1 MB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 125 - Forks: 52

y4shb/prognostics_thesis

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

Language: Jupyter Notebook - Size: 13.9 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 1

nasa/prog_server

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 one or more users to access the features of these packages through a REST API. The package is intended to be used as a research tool to prototype and benchmark Prognostics As-A-Service (PaaS) architectures and work on the challenges facing such architectures, including Generality, Communication, Security, Environmental Complexity, Utility, and Trust.

Language: Python - Size: 1.28 MB - Last synced at: 6 days ago - Pushed at: 5 months ago - Stars: 10 - Forks: 7

MasterSkepticista/Livingstone-2 📦

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

Language: Java - Size: 50.7 MB - Last synced at: about 1 month ago - Pushed at: about 5 years ago - Stars: 4 - Forks: 1

VictorBauler/awesome-bearing-dataset

Bearing fault detection public datasets collection.

Size: 28.8 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 3 - Forks: 0

ppraval/DrGPT

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

Language: HTML - Size: 3.16 MB - Last synced at: 8 months ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0

dependable-cps/AdversarialAttack-PHM

Language: Python - Size: 9.78 MB - Last synced at: 11 months ago - Pushed at: over 4 years ago - Stars: 24 - Forks: 12

kev-wes/2023_pxm_rl_ifac

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.

Language: HTML - Size: 342 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

nasa/prog_algs

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 perform estimation and prediction functions. The library allows the rapid development of prognostics solutions for given models of components and systems. Different algorithms can be easily swapped to do comparative studies and evaluations of different algorithms to select the best for the application at hand.

Size: 4.45 MB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 53 - Forks: 22

John-zf/MDAS_for_Prognostics_of_Machinery

Language: Python - Size: 12.8 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 1

hustcxl/Rotating-machine-fault-data-set

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

Size: 9.98 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 718 - Forks: 246

delta1epsilon/turbofan-remaining-life-prediction

Remaining Useful Life (RUL) prediction for Turbofan Engines

Language: Jupyter Notebook - Size: 23.4 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 11 - Forks: 5

mohyunho/NAS_transformer

Evolutionary Neural Architecture Search on Transformers for RUL Prediction

Language: Python - Size: 15.4 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 13 - Forks: 3

lross2k/prognostics-cmaps

Language: R - Size: 24.4 KB - Last synced at: 24 days ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

mohyunho/N-CMAPSS_DL

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

Language: Jupyter Notebook - Size: 3.02 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 30 - Forks: 3

mohyunho/MOO_ELM

Multi-Objective Optimization of ELM for RUL Prediction

Language: Python - Size: 224 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 7 - Forks: 1

ericlrf/rul

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

Language: Jupyter Notebook - Size: 36.3 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 6 - Forks: 6

katulu-io/uniwear-dataset

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

Language: Jupyter Notebook - Size: 17.2 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 0