Seguir
Michael Candon
Michael Candon
Postdoctoral Researcher, RMIT University
Dirección de correo verificada de student.rmit.edu.au
Título
Citado por
Citado por
Año
Advanced multi-input system identification for next generation aircraft loads monitoring using linear regression, neural networks and deep learning
M Candon, M Esposito, H Fayek, O Levinski, S Koschel, N Joseph, ...
Mechanical Systems and Signal Processing 171, 108809, 2022
252022
Numerical analysis and design optimization of supersonic after-burning with strut fuel injectors for scramjet engines
MJ Candon, H Ogawa
Acta Astronautica 147, 281-296, 2018
252018
Characterization of a 3DOF aeroelastic system with freeplay and aerodynamic nonlinearities–Part I: Higher-order spectra
M Candon, R Carrese, H Ogawa, P Marzocca, C Mouser, O Levinski, ...
Mechanical Systems and Signal Processing 118, 781-807, 2019
222019
Characterization of a 3DOF aeroelastic system with freeplay and aerodynamic nonlinearities–Part II: Hilbert–Huang transform
M Candon, R Carrese, H Ogawa, P Marzocca, C Mouser, O Levinski
Mechanical Systems and Signal Processing 114, 628-643, 2019
172019
Thrust augmentation optimization through supersonic after-burning in scramjet engine nozzles via surrogate-assisted evolutionary algorithms
MJ Candon, H Ogawa
Acta Astronautica 116, 132-147, 2015
142015
A nonlinear signal processing framework for rapid identification and diagnosis of structural freeplay
M Candon, O Levinski, H Ogawa, R Carrese, P Marzocca
Mechanical Systems and Signal Processing 163, 107999, 2022
122022
Aircraft transonic buffet load prediction using artificial neural networks
MJ Candon, O Levinski, A Altaf, R Carrese, P Marzocca
AIAA Scitech 2019 Forum, 0763, 2019
112019
Identification of freeplay and aerodynamic nonlinearities in a 2D aerofoil system with via higher-order spectra
M Candon, R Carrese, H Ogawa, P Marzocca
The Aeronautical Journal 121 (1244), 1530-1560, 2017
82017
Physical insights, characteristics and diagnosis of structural freeplay nonlinearity in transonic aeroelastic systems: a system identification based approach
M Candon
RMIT University, 2019
62019
A Data-Driven Signal Processing Framework for Enhanced Freeplay Diagnostics in NextGen Structural Health Monitoring Systems
MJ Candon, M Scott, S Koschel, O Levinski, P Marzocca
AIAA SCITECH 2022 Forum, 2131, 2022
52022
Automatic Operational Modal Analysis of Flight Test Data Using a Modal Decomposition
S Koschel, R Carrese, N Joseph, M Candon, P Marzocca, O Levinski
AIAA Journal 59 (10), 4043-4056, 2021
52021
Thrust augmentation through after-burning in scramjet nozzles
MJ Candon, H Ogawa, GE Dorrington
Advances in aircraft and spacecraft science 2 (2), 183, 2015
52015
An Innovative High-Fidelity Approach to Individual Aircraft Tracking
O Levinski, D Conser, C Mouser, S Koschel, R Carrese, M Candon, ...
AIAA Scitech 2020 Forum, 1647, 2020
42020
Evolutionary optimization of transonic airfoils for static and dynamic trim performance
M Candon, R Carrese, N Joseph, H Ogawa, P Marzocca
Journal of Intelligent Material Systems and Structures 28 (8), 1071-1088, 2017
42017
Implementation of a State-Space Framework Using the ANSYS Suite for Nonlinear Aeroelasticity
R Carrese, M Candon, N Joseph, P Marzocca
Technical Report to DST Group, RMIT University, Melbourne, Australia, 2016
42016
Evaluation of Generalised Forces Using CFD-Based Methods for Efficient Linear/Nonlinear Simulations
E Hale, MJ Candon, V Muscarello, P Marzocca, L Oleg
AIAA SCITECH 2024 Forum, 1434, 2024
32024
Recent Developments in the Implementation of a Bidirectional LSTM Deep Neural Network for Aircraft Operational Loads Monitoring
MJ Candon, H Fayek, O Levinski, S Koschel, P Marzocca
AIAA SCITECH 2022 Forum, 2132, 2022
32022
High Resolution Operational Modal Analysis and Virtual Sensor Expansion
S Koschel, R Carrese, N Joseph, MJ Candon, P Marzocca, O Levinski
AIAA Scitech 2019 Forum, 1755, 2019
32019
Identification and characterization of a nonlinear aeroelastic system with freeplay and aerodynamic nonlinearities via higher–order spectra
M Candon, R Carrese, H Ogawa, P Marzocca, C Mouser, O Levinskik, ...
58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials …, 2017
32017
Deep learning airframe load prediction: A data-driven system for aircraft structural health management
HM Fayek, M Candon, O Levinski, S Koschel, P Marzocca
AIAC 2021: 19th Australian International Aerospace Congress: 19th Australian …, 2021
22021
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20