Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Reed, S. C.
2008.
Indirect aircraft structural monitoring using artificial neural networks.
The Aeronautical Journal ,
Vol. 112,
Issue. 1131,
p.
251.
Molent, Loris
and
Agius, Jason
2008.
Encyclopedia of Structural Health Monitoring.
Reed, Steve
2008.
Encyclopedia of Structural Health Monitoring.
Reed, Steve
McCoubrey, Brian
and
Mountfort, Andy
2009.
ICAF 2009, Bridging the Gap between Theory and Operational Practice.
p.
1093.
Sharan, Agam
Vijayaraju, K.
and
James, Deepa
2013.
Synthesis of In-Flight Strains Using Flight Parameters for a Fighter Aircraft.
Journal of Aircraft,
Vol. 50,
Issue. 2,
p.
469.
Halle, M.
Thielecke, F.
and
Lindenau, O.
2014.
Comparison of real-time flight loads estimation methods.
CEAS Aeronautical Journal,
Vol. 5,
Issue. 4,
p.
501.
Li, Benwei
Zhao, Yong
Zhang, Yun
Zhu, Feixiang
and
Yang, Xinyi
2015.
An approach to indirect estimation of high pressure turbine inlet temperature of turbofan engines based on gas path thermodynamic relations.
Journal of Mechanical Science and Technology,
Vol. 29,
Issue. 11,
p.
4971.
Ruotsalainen, Marja
Jylha, Juha
and
Visa, Ari
2016.
Minimizing Fatigue Damage in Aircraft Structures.
IEEE Intelligent Systems,
Vol. 31,
Issue. 4,
p.
22.
Jeong, Seon Ho
Lee, Kyu Beom
Ham, Ji Hoon
Kim, Jeong Ho
and
Cho, Jin Yeon
2020.
Estimation of Maximum Strains and Loads in Aircraft Landing Using Artificial Neural Network.
International Journal of Aeronautical and Space Sciences,
Vol. 21,
Issue. 1,
p.
117.
Ntourmas, Georgios
Meissner, Rene
and
Spitas, Vasilios
2020.
Dynamics-Based Loads Monitoring Algorithm for Onboard Commercial Aircraft Usage.
Journal of Aircraft,
Vol. 57,
Issue. 6,
p.
1229.
Colombo, Luca
Sbarufatti, Claudio
Dal Bosco, Luca
Bortolotti, Davide
Dziendzikowski, Michal
Dragan, Krzysztof
Concli, Franco
and
Giglio, Marco
2021.
Numerical and experimental verification of an inverse‐direct approach for load and strain monitoring in aeronautical structures.
Structural Control and Health Monitoring,
Vol. 28,
Issue. 2,
Dong, Yiqun
Tao, Jun
Zhang, Youmin
Lin, Wei
and
Ai, Jianliang
2021.
Deep Learning in Aircraft Design, Dynamics, and Control: Review and Prospects.
IEEE Transactions on Aerospace and Electronic Systems,
Vol. 57,
Issue. 4,
p.
2346.
Colombo, Luca
Sbarufatti, Claudio
Zielinski, Wojciech
Dragan, Krzysztof
and
Giglio, Marco
2021.
Numerical and experimental flight verifications of a calibration matrix approach for load monitoring and temperature reconstruction and compensation.
Aerospace Science and Technology,
Vol. 118,
Issue. ,
p.
107074.
Candon, Michael
Esposito, Marco
Fayek, Haytham
Levinski, Oleg
Koschel, Stephan
Joseph, Nish
Carrese, Robert
and
Marzocca, Pier
2022.
Advanced multi-input system identification for next generation aircraft loads monitoring using linear regression, neural networks and deep learning.
Mechanical Systems and Signal Processing,
Vol. 171,
Issue. ,
p.
108809.
Zhang, Yanjun
Cao, Shancheng
Wang, Bintuan
and
Yin, Zhiping
2023.
A Flight Parameter-Based Aircraft Structural Load Monitoring Method Using a Genetic Algorithm Enhanced Extreme Learning Machine.
Applied Sciences,
Vol. 13,
Issue. 6,
p.
4018.
Le Clainche, Soledad
Ferrer, Esteban
Gibson, Sam
Cross, Elisabeth
Parente, Alessandro
and
Vinuesa, Ricardo
2023.
Improving aircraft performance using machine learning: A review.
Aerospace Science and Technology,
Vol. 138,
Issue. ,
p.
108354.
Gibson, Samuel J.
Rogers, Timothy J.
and
Cross, Elizabeth J.
2023.
European Workshop on Structural Health Monitoring.
Vol. 270,
Issue. ,
p.
472.
Gibson, Samuel J.
Rogers, Timothy J.
and
Cross, Elizabeth J.
2023.
Distributions of fatigue damage from data-driven strain prediction using Gaussian process regression.
Structural Health Monitoring,
Vol. 22,
Issue. 5,
p.
3065.