An improved dual-channel CNN-BILSTM fusion attention model for fault diagnosis of aero-engine bearings DOI
Delin Huang, Xiangdong Su, Jinghui Yang

et al.

Measurement, Journal Year: 2025, Volume and Issue: unknown, P. 117761 - 117761

Published: May 1, 2025

Language: Английский

Learning Rate Tuner with Relative Adaptation (LRT-RA): Road to Sustainable Computing DOI Creative Commons
Saptarshi Biswas, Sumagna Dey,

Subhrapratim Nath

et al.

AppliedMath, Journal Year: 2025, Volume and Issue: 5(1), P. 8 - 8

Published: Jan. 14, 2025

Optimizing learning rates (LRs) in deep (DL) has long been challenging. Previous solutions, such as rate scheduling (LRS) and adaptive (ALR) algorithms like RMSProp Adam, added complexity by introducing new hyperparameters, thereby increasing the cost of model training through expensive cross-validation experiments. These methods mainly focus on local gradient patterns, which may not be effective scenarios with multiple optima near global optimum. A technique called Learning Rate Tuner Relative Adaptation (LRT-RA) is introduced to tackle these issues. This approach dynamically adjusts LRs during analyzing loss curve, eliminating need for costly initial LR estimation cross-validation. method reduces expenses carbon footprint enhances efficiency. It demonstrates promising results preventing premature convergence, exhibiting inherent optimization behavior, elucidating correlation between dataset distribution optimal selection. The proposed achieves 84.96% accuracy CIFAR-10 while reducing power usage 0.07 kWh, CO2 emissions 0.05, both SO2 NOx 0.00003 pounds, whole testing process.

Language: Английский

Citations

0

A physics-guided approach for accurate battery SOH estimation using RCMHCRE and BatteryPINN DOI
Yaming Liu, Haolin Chen, Ligang Yao

et al.

Advanced Engineering Informatics, Journal Year: 2025, Volume and Issue: 65, P. 103211 - 103211

Published: March 3, 2025

Language: Английский

Citations

0

Multi-modal multi-scale multi-level fusion quadrant entropy for mechanical fault diagnosis DOI
Zhenya Wang, Yaming Liu,

Rengui Bai

et al.

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 127715 - 127715

Published: April 1, 2025

Citations

0

Radial Basis Function Interpolation-Multiscale Optimized Dual-Threshold Permutation Entropy And Its Application to Mechanical Fault Diagnosis DOI
Yuxing Li,

Qiyu Ding,

Yingmin Yi

et al.

Communications in Nonlinear Science and Numerical Simulation, Journal Year: 2025, Volume and Issue: unknown, P. 108904 - 108904

Published: April 1, 2025

Language: Английский

Citations

0

Enhancing machinery reliability in lunar bases: Optimized machine learning for bearing fault classification in DC power distribution networks DOI
Muhammad Zain Yousaf, Josep M. Guerrero, Muhammad Tariq Sadiq

et al.

Measurement, Journal Year: 2025, Volume and Issue: unknown, P. 117737 - 117737

Published: May 1, 2025

Language: Английский

Citations

0

An improved dual-channel CNN-BILSTM fusion attention model for fault diagnosis of aero-engine bearings DOI
Delin Huang, Xiangdong Su, Jinghui Yang

et al.

Measurement, Journal Year: 2025, Volume and Issue: unknown, P. 117761 - 117761

Published: May 1, 2025

Language: Английский

Citations

0