Results 11 to 20 of about 29,955 (275)

On Intercooled Turbofan Engines [PDF]

, 2013
Kyprianidis, Konstantinos, Rolt, Andrew M., Sethi, Vishal   +2 more
openaire   +5 more sources

Large-Scale Simulation of Full Three-Dimensional Flow and Combustion of an Aero-Turbofan Engine on Sunway TaihuLight Supercomputer. [PDF]

Entropy (Basel), 2023
Xu Q, Ren H, Gu H, Wu J, Wang J, Xie Z, Yang G.   +6 more
europepmc   +3 more sources

Optimized modeling of energy and environmental metrics of mixed flow turbofan engine used regional aircraft. [PDF]

J Therm Anal Calorim, 2023
As a kind of gas turbine engines, turbofan engines have powered a number of aero-vehicles in aviation sector. The necessity of turbofan with higher energy efficiency has been greatly drawn attention since these are operating dependent to fossil fuels. In
Uçar UU, Aygun H, Tanyeri B.
europepmc   +2 more sources

A Two-Stage Attention-Based Hierarchical Transformer for Turbofan Engine Remaining Useful Life Prediction. [PDF]

Sensors (Basel)
The accurate estimation of the remaining useful life (RUL) for aircraft engines is essential for ensuring safety and uninterrupted operations in the aviation industry.
Fan Z, Li W, Chang KC.
europepmc   +2 more sources

Remaining useful life prognosis of turbofan engines based on deep feature extraction and fusion. [PDF]

Sci Rep, 2022
In turbofan engine datasets, to address problems, such as noise interference, diverse data types, large data volumes, complex feature extraction, inability to effectively describe degradation trends, and poor remaining useful life (RUL) prognosis effects,
Peng C, Chen Y, Gui W, Tang Z, Li C.
europepmc   +2 more sources

Thermal degradation of turbine components in a military turbofan

Engineering Failure Analysis, 2022
Andrzej Szczepankowski, Radosław Przysowa   +1 more
openalex   +2 more sources

Remaining Useful Life Estimation of Turbofan Engines with Deep Learning Using Change-Point Detection Based Labeling and Feature Engineering

Applied Sciences, 2023
Accurate remaining useful life (RUL) prediction is one of the most challenging problems in the prognostics of turbofan engines. Recently, RUL prediction methods for turbofan engines mainly involve data-driven models.
Kıymet Ensarioğlu, Tülin Inkaya, E. Emel   +2 more
semanticscholar   +1 more source

Attention and Long Short-Term Memory Network for Remaining Useful Lifetime Predictions of Turbofan Engine Degradation

International Journal of Prognostics and Health Management, 2023
Machine Prognostics and Health Management (PHM) is often concerned with the prediction of the Remaining Useful Lifetime (RUL) of assets. Accurate real-time RUL predictions enable equipment health assessment and maintenance planning.
P. Costa, A. Akçay, Yingqian Zhang, U. Kaymak   +3 more
semanticscholar   +1 more source

Aircraft Turbofan Noise [PDF]

Volume 5: Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation; Education; Process Industries, 1983
Recent advances in the understanding of turbofan noise generation and suppression in aircraft engines are reviewed with particular emphasis on NASA research. The review addresses each link in the chain of physical processes which connect unsteady flow interactions with fan blades to far field noise.
J. F. Groeneweg, E. J. Rice
openaire   +1 more source

Remaining Useful Life Prediction of Aircraft Turbofan Engine Based on Random Forest Feature Selection and Multi-Layer Perceptron

Applied Sciences, 2023
The accurate prediction of the remaining useful life (RUL) of aircraft engines is crucial for improving engine safety and reducing maintenance costs. To tackle the complex issues of nonlinearity, high dimensionality, and difficult-to-model degradation ...
Hairui Wang, Dongwen Li, Dongjun Li, Cuiqin Liu, Xiuqi Yang, Guifu Zhu   +5 more
semanticscholar   +1 more source