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Domain Adaptive Remaining Useful Life Prediction With Transformer

https://doi.org/10.1109/tim.2022.3200667
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-32025-0_14openalex-snapshot
Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life
inferredcites →https://doi.org/10.1007/978-3-319-46493-0_36openalex-snapshot
Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation
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A theory of learning from different domains
inferredcites →https://doi.org/10.1016/j.ejor.2010.11.018openalex-snapshot
Remaining useful life estimation – A review on the statistical data driven approaches
inferredcites →https://doi.org/10.1016/j.neucom.2018.05.083openalex-snapshot
Deep visual domain adaptation: A survey
inferredcites →https://doi.org/10.1016/j.promfg.2020.06.015openalex-snapshot
Remaining Useful Life Prediction using Deep Learning Approaches: A Review
inferredcites →https://doi.org/10.1016/j.ress.2017.11.021openalex-snapshot
Remaining useful life estimation in prognostics using deep convolution neural networks
inferredcites →https://doi.org/10.1016/j.ress.2019.01.006openalex-snapshot
Gated recurrent unit based recurrent neural network for remaining useful life prediction of nonlinear deterioration process
inferredcites →https://doi.org/10.1016/j.ress.2019.106682openalex-snapshot
Remaining useful lifetime prediction via deep domain adaptation
inferredcites →https://doi.org/10.1016/j.ress.2021.108263openalex-snapshot
Health status assessment and remaining useful life prediction of aero-engine based on BiGRU and MMoE
inferredcites →https://doi.org/10.1016/j.ress.2022.108357openalex-snapshot
An adaptive remaining useful life prediction approach for single battery with unlabeled small sample data and parameter uncertainty
inferredcites →https://doi.org/10.1016/j.ymssp.2019.05.005openalex-snapshot
Remaining useful life estimation using a bidirectional recurrent neural network based autoencoder scheme
inferredcites →https://doi.org/10.1109/72.279181openalex-snapshot
Learning long-term dependencies with gradient descent is difficult
inferredcites →https://doi.org/10.1109/cvpr.2017.316openalex-snapshot
Adversarial Discriminative Domain Adaptation
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00393openalex-snapshot
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation
inferredcites →https://doi.org/10.1109/etfa45728.2021.9613682openalex-snapshot
Challenges of machine learning-based RUL prognosis: A review on NASA's C-MAPSS data set
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/iscas51556.2021.9401572openalex-snapshot
Attention-Based Bidirectional LSTM-CNN Model for Remaining Useful Life Estimation
inferredcites →https://doi.org/10.1109/jsen.2021.3133622openalex-snapshot
A Novel Bayesian Deep Dual Network With Unsupervised Domain Adaptation for Transfer Fault Prognosis Across Different Machines
inferredcites →https://doi.org/10.1109/phm-qingdao46334.2019.8942857openalex-snapshot
Domain Adaptation Remaining Useful Life Prediction Method Based on AdaBN-DCNN
inferredcites →https://doi.org/10.1109/phm.2008.4711414openalex-snapshot
Damage propagation modeling for aircraft engine run-to-failure simulation
inferredcites →https://doi.org/10.1109/phm.2008.4711422openalex-snapshot
Recurrent neural networks for remaining useful life estimation
inferredcites →https://doi.org/10.1109/tcyb.2018.2820174openalex-snapshot
Transfer Independently Together: A Generalized Framework for Domain Adaptation
inferredcites →https://doi.org/10.1109/tie.2019.2907440openalex-snapshot
Bayesian Deep-Learning-Based Health Prognostics Toward Prognostics Uncertainty
inferredcites →https://doi.org/10.1109/tie.2020.2973876openalex-snapshot
A Data-Driven Approach With Uncertainty Quantification for Predicting Future Capacities and Remaining Useful Life of Lithium-ion Battery
inferredcites →https://doi.org/10.1109/tii.2020.3032690openalex-snapshot
Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction
inferredcites →https://doi.org/10.1109/tim.2020.3031113openalex-snapshot
Remaining Useful Life Prognosis Based on Ensemble Long Short-Term Memory Neural Network
inferredcites →https://doi.org/10.1109/tim.2021.3126006openalex-snapshot
Prediction Interval Estimation of Aeroengine Remaining Useful Life Based on Bidirectional Long Short-Term Memory Network
inferredcites →https://doi.org/10.1109/tkde.2021.3060473openalex-snapshot
Faster Domain Adaptation Networks
inferredcites →https://doi.org/10.1109/tpami.2019.2945942openalex-snapshot
A Review of Domain Adaptation without Target Labels
inferredcites →https://doi.org/10.1109/tpami.2020.2991050openalex-snapshot
Maximum Density Divergence for Domain Adaptation
inferredcites →https://doi.org/10.1109/tpami.2021.3109287openalex-snapshot
Divergence-Agnostic Unsupervised Domain Adaptation by Adversarial Attacks
inferredcites →https://doi.org/10.1109/tsmca.2012.2207109openalex-snapshot
Model-Based Prognostics With Concurrent Damage Progression Processes
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.1177/1687814016664660openalex-snapshot
A review of physics-based models in prognostics: Application to gears and bearings of rotating machinery
inferredcites →https://doi.org/10.3115/v1/d14-1179openalex-snapshot
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
inferredcites →https://doi.org/10.3390/data6010005openalex-snapshot
Aircraft Engine Run-to-Failure Dataset under Real Flight Conditions for Prognostics and Diagnostics
inferredcites →https://doi.org/10.5555/2946645.2946704openalex-snapshot
Domain-adversarial training of neural networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Causal Correlation-Driven Dynamic Weighting with Large Language Models for Aero-Engine Remaining Useful Life Prediction
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Prediction of Remaining Useful Life (RUL) for an Aircraft Engine Using Various Machine Learning Algorithms
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Lithium-ion battery remaining useful life prediction: a federated learning-based approach
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Consider the sample-weighted multi-source partial domain adaptation network for remaining useful life prediction under incomplete target data
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A multiple conditions dual inputs attention network remaining useful life prediction method
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Log-Cumulative feature alignment for enhanced Prognosis of Aero-Engine remaining Useful life
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A new domain adaption residual separable convolutional neural network model for cross-domain remaining useful life prediction
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Remaining useful life prediction across operating conditions based on deep subdomain adaptation network considering the weighted multi-source domain
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Bearings remaining useful life prediction across equipment-operating conditions based on multisource-multitarget domain adaptation
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DVGTformer: A dual-view graph Transformer to fuse multi-sensor signals for remaining useful life prediction
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Remaining useful life prediction of main reducer based on parallel multi-attention and contrastive fusion multi-source domain adaption considering compound-fault
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Fusion-Based Dual-Task Architecture for Predicting the Remaining Useful Life of an Aeroengine
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PSO-optimized SSLMS adaptive filter for signal denoising of rolling bearings under small sample condition
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A new dual-channel transformer-based network for remaining useful life prediction
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A Bayesian spatio-temporal degradation model based on ST-NaBGCN for aero-engine remaining useful life prediction and uncertainty quantification
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Pre-trained transformer with contrastive learning and regression constraints for remaining useful life prediction
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Bayesian temporal factorization and improved transformer architecture for the prediction of aero-engine remaining useful life
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Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review
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A Weight-Inherited Degradation-Stage-Aware Neural Architecture Search Method with Stage-Specific Compact Subnets for Bearing RUL Prediction
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Adaptive Wavelet Convolution Stochastic Analysis Graph Neural Network for Remaining Useful Life Prediction
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A Review of Aircraft Predictive Maintenance Techniques Via Machine Learning
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Aging-Informed Dynamic Graph Network for Aero-Engine RUL Prediction
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Fault Diagnosis of Bearings and Gears Based on LiteNet With Feature Aggregation
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Instance Weighting-Based Partial Domain Adaptation for Intelligent Fault Diagnosis of Rotating Machinery
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Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review
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