Results 121 to 130 of about 17,697 (215)

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

Construction of Data-Driven Performance Digital Twin for a Real-World Gas Turbine Anomaly Detection Considering Uncertainty. [PDF]

Sensors (Basel), 2023
Ma Y, Zhu X, Lu J, Yang P, Sun J.
europepmc   +1 more source

Comparative Study of Turbofan and Turbojet Engines [PDF]

, 1957
Benser, W. A., Gabriel, D. S., Kaufman, H. R.   +2 more
core   +1 more source

Conditioned pressure spectra and coherence measurements in the core of a turbofan engine [PDF]

Multiple and partial coherence functions and the corresponding conditioned coherent output spectra are computed between fluctuating pressures measured at two locations within the tailpipe of a turbofan engine and far-field acoustic pressure.
Karchmer, A.
core   +1 more source

Fracture behavior of Ti-6Al-4V in the extreme thermo-mechanical environment of fan blade-out. [PDF]

Sci Rep
Tuninetti V, Beecher C, Arcieri EV, Oñate A, García-Herrera C, Baragetti S.   +5 more
europepmc   +1 more source

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

Sci Rep, 2022
Peng C, Chen Y, Gui W, Tang Z, Li C.
europepmc   +1 more source

Supersonic STOVL aircraft with turbine bypass/turbo-compressor engines [PDF]

Three propulsion systems for a Mach 2 STOVL fighter were compared. The three propulsion systems are: (1) turbine bypass engine with a turbocompressor used for STOVL only; (2) turbine bypass engine with a turbocompressor for both STOVL and thrust during ...
Franciscus, L. C., Luidens, R. W.
core   +1 more source

Leveraging transfer learning and maintenance domain adaptation to improve useful life prediction accuracy of high pressure compressor of aeroengine. [PDF]

MethodsX
Singh SNP, Shringi R, Chaturvedi M, Shringi S, Sharma H.   +4 more
europepmc   +1 more source

Impact and promise of NASA aeropropulsion technology [PDF]

The aeropropulsion industry in the U.S. has established an enviable record of leading the world in aeropropulsion for commercial and military aircraft.
Bowditch, David N., Saunders, Neal T.
core   +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