SOTAVerified

Remaining Useful Lifetime Estimation

Estimating the number of machine operation cycles until breakdown from the time series of previous cycles.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–7 of 7 papers

TitleStatusHype
A stacked DCNN to predict the RUL of a turbofan engineCode1
A stacked deep convolutional neural network to predict the remaining useful life of a turbofan engineCode1
Conformal Prediction Intervals for Remaining Useful Lifetime EstimationCode1
Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-SupervisionCode1
Knowledge Informed Machine Learning using a Weibull-based Loss FunctionCode1
PHMD: An easy data access tool for prognosis and health management datasetsCode1
Variational encoding approach for interpretable assessment of remaining useful life estimationCode1
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All datasetsNASA C-MAPSSNASA C-MAPSS-2

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RVERMSE14.92—Unverified
#ModelMetricClaimedVerifiedStatus
1Stacked DCNNScore3.65—Unverified