condition-based-maintenance
There are 1 repository under condition-based-maintenance topic.
kokikwbt / predictive-maintenance
Datasets for Predictive Maintenance
ai-engineeringindustry-4machine-learningpredictive-maintenanceremaining-useful-lifeanomalycondition-based-maintenancesurvival-analysisanomaly-detectiontime-seriestime-series-analysisforecastingautomationphmprognosis-and-health-managementrun-to-failure-modelsrun-to-failureevent-to-eventtime-to-eventdegradationLanguage:Jupyter Notebook 84xxl4tomxu98 / 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-analysisLanguage:Jupyter Notebook 24ericlrf / 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 18lucadellalib / bayesian-deep-rul
Bayesian Deep Learning for Remaining Useful Life Estimation of Machine Tool Components
Language:Python 135DollarBurger / Condition-Based-Maintenance
This work proposes a joint-probabilistic model between the remaining life and inspection observations, which is then used to perform prognostics on currently installed assets. At every new observation, the forward-looking belief on the asset's remaining life is Bayesian updated, granting dynamic estimations on its failure probability. Consequently, inspection times are optimally determined, with increasing frequency as the component deteriorate. The trained model is evaluated using an independent inspection history of a bearing component, and the predicted prognostics are observed to converge towards the actual failure date of the asset.
Language:Python 3sassoftware / iot-high-frequency-algorithms-for-applications
Learn how to use high-frequency algorithms offered under SAS Analytics for IoT for Condition Based Maintenance
vipul2001 / Component-Wise-Markov-Decision-Process
This repository provides code for the paper "Vipul Bansal, Yong Chen, Shiyu Zhou, Component-Wise Markov Decision Process for Solving Condition Based Maintenance of Large Multi-Component Systems with Economic Dependence"
Language:Jupyter Notebook 1teletobbie / AM
Development of an tool to guide maintenance decision making for a variety of machines. Assignment during the Asset Management course at the University of Groningen
Language:Python 0- Language:Jupyter Notebook
