Hybrid Gaussian Process Regression with Temporal Feature Extraction for Partially Interpretable Remaining Useful Life Interval Prediction in Aeroengine Prognostics
Fuente:
arXiv
Saved in:
| Main Authors: | Niu, Tian, Xu, Zijun, Luo, Heng, Zhou, Ziqing |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Temporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction
by: Wen, Zhihao, et al.
Published: (2024)
by: Wen, Zhihao, et al.
Published: (2024)
FTT-GRU: A Hybrid Fast Temporal Transformer with GRU for Remaining Useful Life Prediction
by: Chirukiri, Varun Teja, et al.
Published: (2025)
by: Chirukiri, Varun Teja, et al.
Published: (2025)
A Multi-Granularity Supervised Contrastive Framework for Remaining Useful Life Prediction of Aero-engines
by: He, Zixuan, et al.
Published: (2024)
by: He, Zixuan, et al.
Published: (2024)
Automated Machine Learning for Remaining Useful Life Predictions
by: Zöller, Marc-André, et al.
Published: (2023)
by: Zöller, Marc-André, et al.
Published: (2023)
Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions
by: Furqon, Muhammad Tanzil, et al.
Published: (2024)
by: Furqon, Muhammad Tanzil, et al.
Published: (2024)
HyBattNet: Hybrid Framework for Predicting the Remaining Useful Life of Lithium-Ion Batteries
by: Tran, Khoa, et al.
Published: (2025)
by: Tran, Khoa, et al.
Published: (2025)
A Quantile Regression Approach for Remaining Useful Life Estimation with State Space Models
by: Frizzo, Davide, et al.
Published: (2025)
by: Frizzo, Davide, et al.
Published: (2025)
Multiscale Dual-path Feature Aggregation Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
by: Lv, Zihao, et al.
Published: (2025)
by: Lv, Zihao, et al.
Published: (2025)
Evidential Domain Adaptation for Remaining Useful Life Prediction with Incomplete Degradation
by: Hou, Yubo, et al.
Published: (2026)
by: Hou, Yubo, et al.
Published: (2026)
CNN-LSTM Hybrid Deep Learning Model for Remaining Useful Life Estimation
by: G, Muthukumar, et al.
Published: (2024)
by: G, Muthukumar, et al.
Published: (2024)
Hybrid Deep Learning with Temporal Data Augmentation for Accurate Remaining Useful Life Prediction of Lithium-Ion Batteries
by: Tian, Yun, et al.
Published: (2026)
by: Tian, Yun, et al.
Published: (2026)
Physically-Constrained Mamba-SDE for Remaining Useful Life Prediction under Irregular Observations
by: Zhuang, Deyu, et al.
Published: (2026)
by: Zhuang, Deyu, et al.
Published: (2026)
A Novel Preprocessing-Driven Approach to Remaining Useful Life (RUL) Prediction Using Temporal Convolutional Networks (TCN)
by: Imbert, Florent, et al.
Published: (2026)
by: Imbert, Florent, et al.
Published: (2026)
Predictive Maintenance Strategies for Aero‐Engines Considering Remaining Useful Life Prediction Interval
by: Zhengbo Zhu, et al.
Published: (2025)
by: Zhengbo Zhu, et al.
Published: (2025)
Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Prediction
by: Fu, En, et al.
Published: (2024)
by: Fu, En, et al.
Published: (2024)
Target-specific Adaptation and Consistent Degradation Alignment for Cross-Domain Remaining Useful Life Prediction
by: Hou, Yubo, et al.
Published: (2025)
by: Hou, Yubo, et al.
Published: (2025)
Survival Analysis with Machine Learning for Predicting Li-ion Battery Remaining Useful Life
by: Xue, Jingyuan, et al.
Published: (2025)
by: Xue, Jingyuan, et al.
Published: (2025)
IIP-Mixer:Intra-Inter Patch Mixing Architecture for Battery Remaining Useful Life Prediction
by: Ye, Guangzai, et al.
Published: (2024)
by: Ye, Guangzai, et al.
Published: (2024)
AI‐Driven Battery Management for E‐Mobility: Predicting State of Health and Remaining Useful Life
by: Satyashil D. Nagarale, et al.
Published: (2026)
by: Satyashil D. Nagarale, et al.
Published: (2026)
Scientific Machine Learning for Engine Health Management and Remaining Useful Life Prediction
by: Barry-Straume, Jostein, et al.
Published: (2026)
by: Barry-Straume, Jostein, et al.
Published: (2026)
A Hybrid Remaining Useful Life Prediction Framework Based on Improved Autoencoder and Nonlinear Wiener Process
by: Junyu Guo, et al.
Published: (2026)
by: Junyu Guo, et al.
Published: (2026)
Accurate Remaining Useful Life Prediction with Uncertainty Quantification: a Deep Learning and Nonstationary Gaussian Process Approach
by: Xu, Zhaoyi, et al.
Published: (2021)
by: Xu, Zhaoyi, et al.
Published: (2021)
Deep Domain Adaptation for Turbofan Engine Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends
by: Wang, Yucheng, et al.
Published: (2025)
by: Wang, Yucheng, et al.
Published: (2025)
A Survey on Graph Neural Networks for Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends
by: Wang, Yucheng, et al.
Published: (2024)
by: Wang, Yucheng, et al.
Published: (2024)
Meta-Learning and Knowledge Discovery based Physics-Informed Neural Network for Remaining Useful Life Prediction
by: Wang, Yu, et al.
Published: (2025)
by: Wang, Yu, et al.
Published: (2025)
Remaining Useful Life Prediction for Batteries Utilizing an Explainable AI Approach with a Predictive Application for Decision-Making
by: Paneru, Biplov, et al.
Published: (2024)
by: Paneru, Biplov, et al.
Published: (2024)
Remaining Useful Life Prediction: A Study on Multidimensional Industrial Signal Processing and Efficient Transfer Learning Based on Large Language Models
by: Chen, Yan, et al.
Published: (2024)
by: Chen, Yan, et al.
Published: (2024)
Uncertainty-Aware Deep Learning Framework for Remaining Useful Life Prediction in Turbofan Engines with Learned Aleatoric Uncertainty
by: Sharma, Krishang
Published: (2025)
by: Sharma, Krishang
Published: (2025)
BACE-RUL: A Bi-directional Adversarial Network with Covariate Encoding for Machine Remaining Useful Life Prediction
by: Zhang, Zekai, et al.
Published: (2025)
by: Zhang, Zekai, et al.
Published: (2025)
Spatio-Temporal Attention Graph Neural Network for Remaining Useful Life Prediction
by: Huang, Zhixin, et al.
Published: (2024)
by: Huang, Zhixin, et al.
Published: (2024)
Remaining Useful Life Prediction for ATS Bearings Based on a Temporal Convolutional Network Fused With Autoregression
by: Runxia Guo, et al.
Published: (2025)
by: Runxia Guo, et al.
Published: (2025)
Predicting Remaining Useful Life and Optimizing Preventive Maintenance for Multistage Manufacturing Processes
by: Young‐Suk Choo, et al.
Published: (2025)
by: Young‐Suk Choo, et al.
Published: (2025)
Turbofan Engine Remaining Useful Life (RUL) Prediction Based on Bi-Directional Long Short-Term Memory (BLSTM)
by: Sherifi, Abedin
Published: (2024)
by: Sherifi, Abedin
Published: (2024)
A Novel Multimodal RUL Framework for Remaining Useful Life Estimation with Layer-wise Explanations
by: Razzaq, Waleed, et al.
Published: (2025)
by: Razzaq, Waleed, et al.
Published: (2025)
Fed-Joint: Joint Modeling of Nonlinear Degradation Signals and Failure Events for Remaining Useful Life Prediction using Federated Learning
by: Jeong, Cheoljoon, et al.
Published: (2025)
by: Jeong, Cheoljoon, et al.
Published: (2025)
Bifurcated Remaining Useful Life Prediction: A Hybrid Approach for Realistic Uncertainty Characterization
by: Belaunzaran, Xabier, et al.
Published: (2026)
by: Belaunzaran, Xabier, et al.
Published: (2026)
Remaining Useful Life Analysis for Two‐Stage Nonlinear Inverse Gaussian Process With Random Effects
by: Zai‐Zai Yan, et al.
Published: (2025)
by: Zai‐Zai Yan, et al.
Published: (2025)
Interpretable Hybrid-Rule Temporal Point Processes
by: Cao, Yunyang, et al.
Published: (2025)
by: Cao, Yunyang, et al.
Published: (2025)
Rethinking Remaining Useful Life Prediction with Scarce Time Series Data: Regression under Indirect Supervision
by: Cheng, Jiaxiang, et al.
Published: (2025)
by: Cheng, Jiaxiang, et al.
Published: (2025)
A Remaining Useful Life Prediction Method for Lithium Battery Based on Dynamic Regression Selection Algorithm
by: Hairong Wang, et al.
Published: (2025)
by: Hairong Wang, et al.
Published: (2025)
Similar Items
-
Temporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction
by: Wen, Zhihao, et al.
Published: (2024) -
FTT-GRU: A Hybrid Fast Temporal Transformer with GRU for Remaining Useful Life Prediction
by: Chirukiri, Varun Teja, et al.
Published: (2025) -
A Multi-Granularity Supervised Contrastive Framework for Remaining Useful Life Prediction of Aero-engines
by: He, Zixuan, et al.
Published: (2024) -
Automated Machine Learning for Remaining Useful Life Predictions
by: Zöller, Marc-André, et al.
Published: (2023) -
Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions
by: Furqon, Muhammad Tanzil, et al.
Published: (2024)