Results 51 to 60 of about 9,897 (232)

Energy Optimization Analysis of Turbofan Engine for More-Electric Civil Aircraft

IEEE Access, 2020
The civil aviation industry is moving into the more-electric environment where the civil aircraft uses electricity to meet the multiple energy demands of the associated aircraft subsystems.
Yuanchao Yang, Hao Li, Chen Yu
doaj   +1 more source

Investigating Breathing Dynamics of a 110 kV Oil‐Immersed Transformer Using Thermal‐Fluid‐Structure Interaction Modelling

High Voltage, EarlyView.
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, Guangyi Chen, Dong Shang, Xiang Zhang, Haitao Yang, Jianwen Zhang   +5 more
wiley   +1 more source

Electro-active acoustic liner for the reduction of turbofan noise

Proceedings of the 10th Convention of the European Acoustics Association Forum Acusticum 2023, 2022
An electro-active acoustic liner is used to lower the noise emissions of a turbofan engine. The liner is composed of an array of electro-acoustic absorbers, covered by a wiremesh in order to protect the electrodynamic devices from the flow.
Italy Turin, T. September, •. Politecnico, Di Torino, ´Edouard Salze, E. D. Bono, K. Billon, Martin Gillet, Maxime Volery, Manuel Collet, M. Ouisse, Hervé Lissek, J. Mardjono   +12 more
semanticscholar   +1 more source

Advanced Implementation of the Asymmetric Distribution Expectation-Maximum Algorithm in Fault-Tolerant Control for Turbofan Acceleration

Aerospace
For the safety and performance of turbofan engines, the fault-tolerant control of acceleration schedules is becoming increasingly necessary. However, traditional probabilistic approaches struggle to satisfy the single-side surge boundary limits and ...
Xinhai Zhang, Jia Geng, Kang Wang, Ming Li, Zhiping Song   +4 more
doaj   +1 more source

RUL Prediction of Rolling Bearings via Adaptive Multi‐Scale Feature Alignment and Semantic Fusion

Engineering Reports, Volume 8, Issue 6, June 2026.
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

Performance evaluation of aeroderivative gas turbine models derived from a high bypass turbofan for industrial power generation

Cogent Engineering, 2017
The paper presents the evaluation of the performance of various aeroderivative gas turbine models (AGTM) derived from a high bypass turbofan engine (HBTE).
Samuel O. Effiom, Fidelis I. Abam, Bethrand N. Nwankwojike   +2 more
doaj   +1 more source

Degradation Prediction of Proton‐Exchange Membrane Fuel Cell Tested Under Static and Quasi‐Dynamic Operating Conditions

Fuel Cells, Volume 26, Issue 3, June 2026.
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, Marcia L. Baptista, Helmut Prendinger   +2 more
wiley   +1 more source

Remaining Useful Life Estimation for Turbofan Engine with Transformer-based Deep Architecture

International Conference on Automation and Computing, 2021
With the development of information technology and sensors, the large industrial system has become a data-rich environment, which leads to the rapid development and application of deep learning for the remaining useful life prediction, especially for the
Qianxia Ma, Ming Zhang, Yuchun Xu, Jingyan Song, Tao Zhang   +4 more
semanticscholar   +1 more source

Advances in Atmospheric Water Harvesting Hydrogels: A Review of Material Design, System Integration, and Practical Applications

Small Structures, Volume 7, Issue 6, June 2026.
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, Pengle Cao, Wangkai Jiang, Ke‐Qin Zhang   +3 more
wiley   +1 more source

Remaining Useful Life Prognosis for Turbofan Engine Using Explainable Deep Neural Networks with Dimensionality Reduction

Italian National Conference on Sensors, 2020
This study prognoses the remaining useful life of a turbofan engine using a deep learning model, which is essential for the health management of an engine.
Chang Woo Hong, Changmin Lee, Kwangsuk Lee, Min-Seung Ko, Daeeun Kim, K. Hur   +5 more
semanticscholar   +1 more source