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A hybrid deep learning model towards flow pattern identification of gas-liquid two-phase flows in horizontal pipe
T Ma, T Wang, L Wang, J Tan, Y Cao, J Guo - Energy, 2025 - Elsevier
Horizontal gas-liquid two-phase flow is common in oilfield gathering and transportation
systems, and the flow pattern significantly impacts pipeline operation. To ensure the safety …
systems, and the flow pattern significantly impacts pipeline operation. To ensure the safety …
[HTML][HTML] A Parallel Prognostic Method Integrating Uncertainty Quantification for Probabilistic Remaining Useful Life Prediction of Aero-Engine
R Wang, Y Zhang, C Hu, Z Yang, H Li, F Liu, L Li, J Guo - Processes, 2024 - mdpi.com
Remaining useful life (RUL) prediction plays a fundamental role in the prognostics and
health management of mechanical equipment. Consequently, extensive research has been …
health management of mechanical equipment. Consequently, extensive research has been …
Prediction of Equipment Remaining Useful Life Based on Graph Learning and Spatiotemporal Knowledge Graph
CH Men, Y Han, CG Huang - Quality and Reliability …, 2025 - Wiley Online Library
As equipment structures and functionalities become more complex, ensuring safety and
reliability has become increasingly critical. Hence, accurately predicting the remaining …
reliability has become increasingly critical. Hence, accurately predicting the remaining …
Fatigue Life Prediction and Reliability Assessment of CFRP Adhesively Bonded Joints in Offshore Wind Turbine Blade Applications: A Physics‐Informed Data‐Driven …
Z Shao, Z Liu, Y Zhang, X Zhu - Quality and Reliability …, 2024 - Wiley Online Library
Adhesively bonded joints made of carbon fiber reinforced polymer (CFRP) are critical
structures of offshore wind turbine blades, yet they are particularly susceptible to fatigue …
structures of offshore wind turbine blades, yet they are particularly susceptible to fatigue …