Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ryan J. Madden"'
Publikováno v:
Volume 1: Multifunctional Materials; Mechanics and Behavior of Active Materials; Integrated System Design and Implementation; Structural Health Monitoring.
The technique of model-based identification is proposed to extract a model for damage in composite materials from experimental data. The proposed method is demonstrated on a unidirectional carbon fiber reinforced polymer (CFRP) beam. Impact damage is
Publikováno v:
Proceedings of the 9th IFToMM International Conference on Rotor Dynamics ISBN: 9783319065892
Robust control techniques have allowed engineers to create model sets which are robust to deviations from the actual system through the use of model uncertainty in the form of both additive noise and plant perturbations. To ensure the quality of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e6c635e40968c1e92a9f0e89f367747
https://doi.org/10.1007/978-3-319-06590-8_63
https://doi.org/10.1007/978-3-319-06590-8_63
Publikováno v:
Structural Health Monitoring 2015.
Robust control techniques have enabled engineers to create uncertain models which are able to describe any differences between the model and actual system with uncertainties in a combination of exogenous inputs and plant perturbations. Model validati
Publikováno v:
Volume 7A: Structures and Dynamics.
Robust control techniques have allowed engineers to create more descriptive models by including uncertainty in the form of additive noise and plant perturbations. As a result, the complete model set is robust to any discrepancies between the mathemat
Autor:
Ryan J. Madden
Publikováno v:
The Eagle Feather.
Autor:
Jerzy T. Sawicki, Ryan J. Madden
Publikováno v:
Journal of Engineering for Gas Turbines and Power. 134
Model-based identification and μ-synthesis are employed for model updating of the rotor for a high-speed machining spindle supported on active magnetic bearings. The experimentally validated model is compared with a nominal engineering model to iden
Autor:
Ryan J. Madden, Jerzy T. Sawicki
Publikováno v:
Springer Proceedings in Physics ISBN: 9789400720688
Analytical models only approximate the true dynamics of analyzed rotating machines, due to the presence of components that are inherently difficult to model. Such models of rotating machines are driven by the best engineering knowledge and experience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::912a011ca39053f1dcfca9f5a4c87061
https://doi.org/10.1007/978-94-007-2069-5_78
https://doi.org/10.1007/978-94-007-2069-5_78