Results 31 to 40 of about 359 (186)
Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures
ABSTRACT Real‐time Hybrid Simulation (RTHS) is a cyber‐physical technique that studies the dynamic behavior of a system by combining physical and numerical components that are coupled through a boundary condition enforcer. In structural engineering, the numerical components are subjected to environmental loads that become dynamic displacements of the ...
Andrés Felipe Niño +6 more
wiley +1 more source
Abstract Research Summary Despite the importance of resource reallocation in shaping a variety of strategic outcomes, strategy scholars have paid only limited attention to the processes by which firms reallocate their resources across successive systemic innovations.
Gino Cattani +2 more
wiley +1 more source
Analysis of temperature distribution in the annular mixing chamber of a gas turbine engine
The object of this research was the mixing chamber of a turbofan engine. The subject of this study was the thermogasdynamic processes in the mixing chamber of the turbojet engine before the turbine of the turbofan stage.
Illia Yudin
doaj +1 more source
Modelling of a turbojet gas turbine engine [PDF]
Gas turbines are one of the most important internal combustion engines in the modern world's transportation. Any possible improvements of the performance of the gas turbine engines would help to minimize the world's annual fossil fuel consumption and hence the emissions of the adverse greenhouse gases.
Klein, D. +1 more
openaire +2 more sources
ABSTRACT The breathing system of an oil‐immersed transformer is of vital importance for maintaining equilibrium between internal and external pressures, with any malfunction potentially disrupting the transformer's stable operation. This study develops a thermal–fluid–structure interaction (TFSI) model to simulate the breathing phenomenon in a 110 kV ...
Lujia Wang +5 more
wiley +1 more source
RUL Prediction of Rolling Bearings via Adaptive Multi‐Scale Feature Alignment and Semantic Fusion
An adaptive multi‐scale framework integrates denoising, feature fusion, and degradation‐stage‐driven alignment to suppress noise, capture local–global degradation patterns, and enable robust and accurate remaining useful life prediction. ABSTRACT Remaining useful life (RUL) prediction of rolling bearings is essential for intelligent maintenance and ...
Yuanyuan Wu, Ning Li
wiley +1 more source
ABSTRACT The viability and extended lifetime of proton‐exchange membrane (PEM) fuel cells are essential to enable hydrogen electric aviation. Their reliability, that is, the ability to maintain stable performance over long operational periods under varying environmental and load conditions, is a critical factor for their adoption in aviation systems ...
Matthew Georgio Dekkers +2 more
wiley +1 more source
This review presents a multiscale optimization framework for hydrogel‐based sorbent atmospheric water harvesting (SAWH), integrating material chemistry, structural engineering, and device‐level strategies. It details how synergy between absorption, desorption, and thermal management leads to efficient, sustainable atmospheric water harvesting and ...
Ting‐Ting Li +3 more
wiley +1 more source
Accurate turbojet engine performance prediction is crucial for condition monitoring, health management, and safe operation. Conventional component-level models require iterative solutions of strongly nonlinear matching equations and are sensitive to un ...
Huaiping Gu +4 more
doaj +1 more source
Intelligent Situational Control of Small Turbojet Engines
Improvements in reliability, safety, and operational efficiency of aeroengines can be brought in a cost-effective way using advanced control concepts, thus requiring only software updates of their digital control systems.
Rudolf Andoga +6 more
doaj +1 more source

