Results 81 to 90 of about 818 (187)

Mathematical Modeling of Operating Process Parameters of a Mixed-flow Turbofan Engine with an Afterburner

Journal of Aerospace Technology and Management
The article provides a brief analytical review of mathematical models of the working process used to study the parameters and characteristics of a gas turbine engine at all stages of its creation and operation.
Mykola Kulik, Ivan Lastivka, Larysa Volianska, Andrii Voznyuk, Ivan Babichev   +4 more
doaj  

Simulation evaluation and verification of bird ingestion ability of turbofan engine

Hangkong gongcheng jinzhan
The bird-swallowing ability of engine must meet the requirements of the national military standard and airworthiness. It is necessary to propose a reliable method to assess the bird-swallowing ability of the engine before bird-swallowing tests, the test ...
JIA Chao, FAN Jie, JIANG Tongtong, CHEN Qian   +3 more
doaj   +1 more source

Turbofan Engine Remaining Useful Life Prediction with Reliable Prediction Intervals via LSTM-Based Quantile Regression and Conformal Calibration. [PDF]

Sensors (Basel)
Diao R, Zhou M, Meng G, Wang S.
europepmc   +1 more source

V2500 turbofan engine.

Journal of the Japan Society for Aeronautical and Space Sciences, 1984
openaire   +2 more sources

Exergy Analysis of a Turbofan Engine

, 2018
In this thesis, exergetic methodology is applied to a high bypass turbofan engine at cruise flight phase. Exergy analysis is a powerful tool, which has been used in the design, operation, and performance of energy systems by many engineers and researchers.
openaire   +1 more source

A deep learning-based prognostic approach for predicting turbofan engine degradation and remaining useful life. [PDF]

Sci Rep
Elsherif SM, Hafiz B, Makhlouf MA, Farouk O.   +3 more
europepmc   +1 more source

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

Sensors (Basel)
Fan Z, Li W, Chang KC.
europepmc   +1 more source

Thermodynamics, Environmental and Sustainability Impacts of a Turbofan Engine Under Different Design Conditions Considering Variable Needs in the Aviation Industry. [PDF]

Glob Chall
Aygun H, Sheikhi MR, Caliskan H.
europepmc   +1 more source

A deep learning framework for remaining useful life prediction of turbofan engines with partial sensor failure. [PDF]

PLoS One
Tang D.
europepmc   +1 more source

Predictive engine model incorporating physics based model estimation and machine learning. [PDF]

Sci Rep
Jung JS, Son C, Rimell A, Clarkson RJ.
europepmc   +1 more source