prognostics-health-management

There are 0 repository under prognostics-health-management topic.

• 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.

  simulationmodelingprognosticsprognostic-modelsprognostics-health-management
  121
• weibull-knowledge-informed-ml

  tvhahn / weibull-knowledge-informed-ml

  Using knowledge-informed machine learning on the PRONOSTIA (FEMTO) and IMS bearing data sets. Predict remaining-useful-life (RUL).

  condition-monitoringweibullmachine-learningknowledge-informed-machine-learningbearing-fault-diagnosisremaining-useful-lifeims-bearing-data-setpronostia-datasetprognostics-health-managementdeep-learningmanufacturingpytorch
  Language:Python 120

• 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.

  prognosticsprognostics-health-managementintegrated-system-health-management
  53

• 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.

  integrated-system-health-managementmodelingmodeling-and-simulationprognostic-modelsprognosticsprognostics-health-managementsimulation
  Language:Python 34

• mohyunho / NAS_transformer

  Evolutionary Neural Architecture Search on Transformers for RUL Prediction

  cmapssevolutionary-algorithmsevolutionary-computationneural-architecture-searchngboostpredictive-maintenanceprognosticsprognostics-health-managementremaining-useful-life-predictionrul-predictiontransformer-architecturetransformers
  Language:Python 31

• xxl4tomxu98 / NASA-Jet-Engine-Maintenance

  ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification

  fault-detection-classificationpredictive-maintenanceremaining-useful-life-predictionpredictive-logisticscondition-based-maintenanceprognostics-health-managementrealtime-predictive-analyticsanomaly-detectionfault-detectionembeded-systemshealth-managementfailure-modessurvival-analysisdegradation-population-distributioncomponent-failure-distributioncensored-datachurn-analyticstime-to-eventtime-varying-covariatesreliability-analysis
  Language:Jupyter Notebook 24

• 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

  remaining-useful-liferemaining-life-estimationresidual-useful-lifesurvival-analysisdegradation-modelsrun-to-failure-modelspredictive-maintenancepdmprognostics-health-managementphmrulrul-predictionprognosticscondition-monitoringfailure-predictioncondition-based-maintenancecbm
  Language:Jupyter Notebook 18

• 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.

  prognosticsprognostics-health-managementprognostics-as-a-service
  Language:Python 8

• lbasora / bnnrul

  Tools to test BNN inference algorithms and techniques to predict RUL on aeronautical systems.

  bayesian-neural-networksprognostics-health-management
  Language:Jupyter Notebook 7

• machine-data-hub / app

  Machine Data Hub Web App

  machine-learningprognostics-health-managementpredictive-modelingmachinery-condition-monitoringdata-scienceartificial-intelligence
  Language:JavaScript 1

• Eugene-Ovcharenko / CABG_register_analysis

  Machine learning algorithm to predict the long-term adverse cardiovascular events following coronary artery bypass surgery (CABG)

  cabgclinical-dataclinical-researchcross-validationmachine-learningprognostics-health-management
  Language:Python 0