Datasets for Predictive Maintenance

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

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

Bayesian Deep Learning for Remaining Useful Life Estimation of Machine Tool Components

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. Consequent…

Learn how to use high-frequency algorithms offered under SAS Analytics for IoT for Condition Based Maintenance

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"

My Personal Project

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