Results 101 to 110 of about 9,897 (232)

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

Thermal degradation of turbine components in a military turbofan

Engineering Failure Analysis, 2022
A. Szczepankowski, R. Przysowa
semanticscholar   +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

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

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

Trans-D3: A Novel Hybrid Transformer-Based Actor-Critic Approach for Remaining Useful Life Prediction. [PDF]

Sensors (Basel)
Paredes J, Chavez D, Isa-Jara R, Vargas D.   +3 more
europepmc   +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

V2500 turbofan engine.

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

Prediction of aero engine remaining service life using a bidirectional GRU model with self attention mechanism. [PDF]

Sci Rep
Fu W, Wang H, Sun X, Song Z, Xu S, Xu M, Liu L, Razak NA.   +7 more
europepmc   +1 more source