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Uncertainty Prediction of Remaining Useful Life Using Long Short-Term Memory Network Based on Bootstrap Method
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life
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Prognostics and Health Management of Engineering Systems: An Introduction
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Lower Upper Bound Estimation Method Considering Symmetry for Construction of Prediction Intervals in Flood Forecasting
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Remaining useful life estimation of engineered systems using vanilla LSTM neural networks
inferredcites →https://doi.org/10.1016/j.neunet.2006.01.012openalex-snapshot
Machine learning approaches for estimation of prediction interval for the model output
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Interval prediction of solar power using an Improved Bootstrap method
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Prediction Intervals for Artificial Neural Networks
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Bayesian framework for aerospace gas turbine engine prognostics
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Estimating the mean and variance of the target probability distribution
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Ensemble of bootstrapped models for the prediction of the remaining useful life of a creeping turbine blade
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A data-driven prognostics approach for RUL based on principle component and instance learning
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Lithium-ion battery remaining useful life prediction with Deep Belief Network and Relevance Vector Machine
inferredcites →https://doi.org/10.1109/icphm.2017.7998311openalex-snapshot
Long Short-Term Memory Network for Remaining Useful Life estimation
inferredcites →https://doi.org/10.1109/icphm.2017.7998327openalex-snapshot
Particle filtering based estimation of remaining useful life of lithium-ion batteries employing power fading data
inferredcites →https://doi.org/10.1109/ijcnn.2016.7727410openalex-snapshot
A time window neural network based framework for Remaining Useful Life estimation
inferredcites →https://doi.org/10.1109/ijcnn.2016.7727487openalex-snapshot
ELM Meets RAE-ELM: A hybrid intelligent model for multiple fault diagnosis and remaining useful life predication of rotating machinery
inferredcites →https://doi.org/10.1109/phm.2008.4711422openalex-snapshot
Recurrent neural networks for remaining useful life estimation
inferredcites →https://doi.org/10.1109/tie.2016.2623260openalex-snapshot
Direct Remaining Useful Life Estimation Based on Support Vector Regression
inferredcites →https://doi.org/10.1109/tnn.2010.2096824openalex-snapshot
Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals
inferredcites →https://doi.org/10.1109/tnnls.2016.2582798openalex-snapshot
Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics
inferredcites →https://doi.org/10.1109/tns.2006.871662openalex-snapshot
A study of the bootstrap method for estimating the accuracy of artificial neural networks in predicting nuclear transient processes
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The Evidence Framework Applied to Classification Networks
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Performance Benchmarking and Analysis of Prognostic Methods for CMAPSS Datasets
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LSTM-based Deep Learning Models for Non-factoid Answer Selection
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Uncertainty-aware Remaining Useful Life predictor
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