Remaining Useful Lifetime Estimation
6 papers with code • 2 benchmarks • 4 datasets
Estimating the number of machine operation cycles until breakdown from the time series of previous cycles.
Benchmarks
These leaderboards are used to track progress in Remaining Useful Lifetime Estimation
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
|||||
|
NASA C-MAPSS
PRONOSTIA Bearing Dataset
IMS Bearing Dataset
Most implemented papers
Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision
tilman151/self-supervised-ssl
•
•
Previous work on SSL evaluated their approaches under unrealistic conditions where the data near failure was still available.
A stacked deep convolutional neural network to predict the remaining useful life of a turbofan engine
datrikintelligence/stacked-dcnn-rul-phm21
•
•
This paper presents the data-driven techniques and methodologies used to predict the remaining useful life (RUL) of a fleet of aircraft engines that can suffer failures of diverse nature.
A stacked DCNN to predict the RUL of a turbofan engine
datrikintelligence/stacked-dcnn-rul-phm21
•
•
Annual conference pf the PHM society 2021
This paper presents the data-driven techniques and methodologies used to predict the remaining useful life (RUL) of a fleet of aircraft engines that can suffer failures of diverse nature.
Knowledge Informed Machine Learning using a Weibull-based Loss Function
tvhahn/weibull-knowledge-informed-ml
•
•
Machine learning can be enhanced through the integration of external knowledge.
Variational encoding approach for interpretable assessment of remaining useful life estimation
NahuelCostaCortez/Remaining-Useful-Life-Estimation-Variational
•
•
Reliability Engineering & System Safety (RESS) 2022
However, most of them lack an explanatory component to understand model learning and/or the nature of the data.
Conformal Prediction Intervals for Remaining Useful Lifetime Estimation
alireza-javanmardi/conformal-rul-intervals
•
•
The main objective of Prognostics and Health Management is to estimate the Remaining Useful Lifetime (RUL), namely, the time that a system or a piece of equipment is still in working order before starting to function incorrectly.
