Effect of Nb on the microstructure and wear resistance of In625/(Nbx+ SiC0. 5) composite coatings by laser cladding
H Wang, M Wu, X Miao, X Jin, C Cui, C Ma… - Ceramics International, 2023 - Elsevier
In this study, different amounts of Nb (0–8 wt%) were added into In625 powder mixtures to
prepare In625/(Nb x+ SiC 0.5) composite coatings on In625 substrate by laser cladding. The …
prepare In625/(Nb x+ SiC 0.5) composite coatings on In625 substrate by laser cladding. The …
Enhanced residual convolutional domain adaptation network with CBAM for RUL prediction of cross-machine rolling bearing
X Lu, Q Jiang, Y Shen, X Lin, F Xu, Q Zhu - Reliability Engineering & …, 2024 - Elsevier
Remaining useful life (RUL) prediction of rolling bearing is one of the important measures to
ensure the reliable operation of mechanical equipment. Most of the existing methods are …
ensure the reliable operation of mechanical equipment. Most of the existing methods are …
A novel adaptive deep transfer learning method towards thermal error modeling of electric spindles under variable conditions
Thermal error modeling (TEM) plays a vital role in maintaining the machining accuracy of
electric spindles. Recently, deep learning (DL) techniques have obtained promising …
electric spindles. Recently, deep learning (DL) techniques have obtained promising …
Meta-learning with deep flow kernel network for few shot cross-domain remaining useful life prediction
J Yang, X Wang - Reliability Engineering & System Safety, 2024 - Elsevier
Reliable prediction of the remaining useful life (RUL) is important for improving maintenance
efficiency, equipment availability, and avoiding catastrophic accidents in complex industrial …
efficiency, equipment availability, and avoiding catastrophic accidents in complex industrial …
Variational encoding based on factorized temporal-channel fusion and feature fusion for interpretable remaining useful life prediction
Y Chen, D Liu, X Ding, H Jiang - Advanced Engineering Informatics, 2024 - Elsevier
Abstract The Prognostics Health Management (PHM) of modern equipment typically
employs Remaining Useful Life (RUL) prediction to assess health status. Existing …
employs Remaining Useful Life (RUL) prediction to assess health status. Existing …
Task-orientated probabilistic damage model with interdependent degradation behaviors for RUL prediction of traction converter systems
Remaining useful life (RUL) prediction is crucial for the safety and reliability of engineering
systems with stringent requirements, like high-speed trains. Previous studies on fixed or …
systems with stringent requirements, like high-speed trains. Previous studies on fixed or …
A novel data augmentation strategy for aeroengine multitask prognosis based on degradation behavior extrapolation and diversity-usability trade-off
XY Li, DJ Cheng, XF Fang, CY Zhang… - Reliability Engineering & …, 2024 - Elsevier
For aeroengine multitask prognosis, dataset's quantity and quality significantly affect the
prediction performance. Due to the insufficiency and high redundancy of collected data, data …
prediction performance. Due to the insufficiency and high redundancy of collected data, data …
Uncertainty Estimation Pseudo-Labels Guided Source-Free Domain Adaptation for Cross-Domain Remaining Useful Life Prediction in IIoT
Z Chen, J Chen, T Pan, J Xie - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Domain adaptation (DA) enhances the scalability of remaining useful life (RUL) prediction
technologies, providing a reliable foundation for maintenance decisions across diverse …
technologies, providing a reliable foundation for maintenance decisions across diverse …
FPCA-SETCN: A Novel Deep Learning Framework for Remaining Useful Life Prediction
The accurate prediction of remaining useful life (RUL) can serve as a reliable foundation for
equipment maintenance, thereby effectively reducing the incidence of failure and …
equipment maintenance, thereby effectively reducing the incidence of failure and …
[HTML][HTML] Self-supervised domain adaptation for machinery remaining useful life prediction
Q Le Xuan, M Munderloh, J Ostermann - Reliability Engineering & System …, 2024 - Elsevier
Remaining useful life (RUL) prediction presents one of the most crucial tasks in modern
machinery prognostics and health management systems. As a powerful data-driven solution …
machinery prognostics and health management systems. As a powerful data-driven solution …