Results 71 to 80 of about 1,006 (187)

HMM-Based Method for Aircraft Environmental Control System Turbofan Rolling Bearing Fault Diagnosis

Shock and Vibration
In response to the high-noise, nonlinear, and nonstationary characteristics of vibration signals from aircraft environmental control system (ECS) turbofan rolling bearings, this paper proposes a diagnostic method for the degree of ECS turbofan bearing ...
Gang Yang, Yu Wang, Dezhao Qin, Rui Zhu, Qingpeng Han   +4 more
doaj   +1 more source

Multi-objective performance optimization of turbofan engine for test run

Xibei Gongye Daxue Xuebao
Turbofan engines are widely used in military and civilian aviation fields due to their high propulsion efficiency and low fuel consumption rate, and their performance directly affects the safety and stability of flight mission.
WEI Bofei, WANG Yuting, GUO Zexuan, LIU Feng, XI Feng, SI Shubin, CAI Zhiqiang   +6 more
doaj   +1 more source

Computational Mechanics for Turbofan Engine Blade Containment Testing: Fan Case Design and Blade Impact Dynamics by Finite Element Simulations

Aerospace
The harsh environment during airplane take-off and flights with complex operating conditions require a high dynamic and impact resistance capability of airplane engines.
Víctor Tuninetti, Héctor Sepúlveda
doaj   +1 more source

Turbofan Engine Health Assessment Based on Spatial-Temporal Similarity Calculation. [PDF]

Sensors (Basel), 2023
Peng C, Hu X, Tang Z.
europepmc   +1 more source

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

J Therm Anal Calorim, 2023
Uçar UU, Aygun H, Tanyeri B.
europepmc   +1 more source

On Intercooled Turbofan Engines [PDF]

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

Failure Mode and Effects Analysis on the Air System of an Aero Turbofan Engine Using the Gaussian Model and Evidence Theory. [PDF]

Entropy (Basel), 2023
Tang Y, Zhou Y, Zhou Y, Huang Y, Zhou D.
europepmc   +1 more source

Deep learning approach for prediction of exergy and emission parameters of commercial high by-pass turbofan engines. [PDF]

Environ Sci Pollut Res Int, 2023
Dursun OO, Toraman S, Aygun H.
europepmc   +1 more source

A Spatio-Temporal Attention Mechanism Based Approach for Remaining Useful Life Prediction of Turbofan Engine. [PDF]

Comput Intell Neurosci, 2022
Peng C, Wu J, Tang Z, Yuan X, Li C.
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