Results 141 to 150 of about 14,569 (237)

Unique Microphysical Structures of Ultrafine Particles Emitted from Turbofan Jet Engines. [PDF]

ACS EST Air
Fushimi A, Fujitani Y, Durdina L, Anet JG, Spirig C, Edebeli J, Sakurai H, Murashima Y, Saitoh K, Takegawa N.   +9 more
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

Predictive maintenance programs for aircraft engines based on remaining useful life prediction. [PDF]

Sci Rep
Xue F, Jin G, Tan L, Zhang C, Yu Y.
europepmc   +1 more source

Efficient Channel Attention-Gated Graph Transformer for Aero-Engine Remaining Useful Life Prediction. [PDF]

ACS Omega
Chen C, Li M, Shi J, Yue D, Shi G, Feng L, Churakova AA, Alexandrov IV.   +7 more
europepmc   +1 more source

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 Comprehensive Review of Artificial Intelligence-Based Algorithms for Predicting the Remaining Useful Life of Equipment. [PDF]

Sensors (Basel)
Li W, Chen J, Chen S, Li P, Zhang B, Wang M, Yang M, Wang J, Zhou D, Yun J.   +9 more
europepmc   +1 more source

Anomaly Detection and Remaining Useful Life Prediction for Turbofan Engines with a Key Point-Based Approach to Secure Health Management. [PDF]

Sensors (Basel)
Duan Y, Zhang T, Shi D.
europepmc   +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

A Deep-Learning Method for Remaining Useful Life Prediction of Power Machinery via Dual-Attention Mechanism. [PDF]

Sensors (Basel)
Wang F, Liu A, Qu C, Xiong R, Chen L.
europepmc   +1 more source

An AM-CNN-BiGRU network with spatiotemporal feature fusion for industrial robot predictive maintenance. [PDF]

Sci Rep
Zang Z, Zhang Y, Ruan S, Wang L, Zhang X, Song L, Huang Y, Ye S.   +7 more
europepmc   +1 more source