Results 251 to 260 of about 26,531,310 (313)
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Mechanical systems and signal processing, 2018
Fan Blade Out (FBO) from a running rotor of the turbofan engine will not only introduce the sudden unbalance and inertia asymmetry into the rotor, but also apply large impact load and induce rotor-to-stator rubbing on the rotor, which makes the mass ...
Pingchao Yu +3 more
semanticscholar +1 more source
Fan Blade Out (FBO) from a running rotor of the turbofan engine will not only introduce the sudden unbalance and inertia asymmetry into the rotor, but also apply large impact load and induce rotor-to-stator rubbing on the rotor, which makes the mass ...
Pingchao Yu +3 more
semanticscholar +1 more source
Dynamic Modeling and Control of High-Speed Automated Vehicles for Lane Change Maneuver
IEEE Transactions on Intelligent Vehicles, 2018Lane change maneuver of high-speed automated vehicles is complicated, since it involves highly nonlinear vehicle dynamics, which is critical for the driving safety and handling stability.
Kai Liu +4 more
semanticscholar +1 more source
Dynamic modeling of vortex induced vibration wind turbines
Renewable Energy, 2018This paper studies the dynamic modeling of four configurations of vortex-induced vibrations of a bladeless wind turbine (BWT). The BWTs consist of a bluff body mounted on a flexible structure in the flow field.
A. Chizfahm, E. A. Yazdi, M. Eghtesad
semanticscholar +1 more source
A Dynamic Network Loading Model for Traffic Dynamics Modeling
IEEE Transactions on Intelligent Transportation Systems, 2007The need for a better representation of traffic dynamics and the reproduction of traffic flow motion on the network have been the main reasons to seek solutions for dynamic network loading (DNL) models. In this paper, a neural network (NN) approximator that supports the DNL model is utilized to model link flow dynamics on a sample network.
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2003
Dynamical systems can be modelled from different viewpoints. This chapter summarises the main notions. Each of the succeeding chapters uses one of these models for fault diagnosis and fault-tolerant control.
Mogens Blanke +3 more
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Dynamical systems can be modelled from different viewpoints. This chapter summarises the main notions. Each of the succeeding chapters uses one of these models for fault diagnosis and fault-tolerant control.
Mogens Blanke +3 more
openaire +1 more source
Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 2008
AbstractThis paper presents the development and application of a software tool for modeling knowledge to be used in knowledge-based systems or the Semantic Web. The inferential modeling technique, which is a technique for modeling the static and dynamic knowledge elements of a problem domain, provided the basis for the tool.
Robert Harrison, Christine W. Chan
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AbstractThis paper presents the development and application of a software tool for modeling knowledge to be used in knowledge-based systems or the Semantic Web. The inferential modeling technique, which is a technique for modeling the static and dynamic knowledge elements of a problem domain, provided the basis for the tool.
Robert Harrison, Christine W. Chan
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Econometric Reviews, 2001
This paper introduces nonlinear dynamic factor models for various applications related to risk analysis. Traditional factor models represent the dynamics of processes driven by movements of latent variables, called the factors. Our approach extends this setup by introducing factors defined as random dynamic parameters and stochastic autocorrelated ...
Christian Gourieroux, Joanna Jasiak
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This paper introduces nonlinear dynamic factor models for various applications related to risk analysis. Traditional factor models represent the dynamics of processes driven by movements of latent variables, called the factors. Our approach extends this setup by introducing factors defined as random dynamic parameters and stochastic autocorrelated ...
Christian Gourieroux, Joanna Jasiak
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Hierarchical Bayesian continuous time dynamic modeling.
Psychological methods, 2018Continuous time dynamic models are similar to popular discrete time models such as autoregressive cross-lagged models, but through use of stochastic differential equations can accurately account for differences in time intervals between measurements, and
Charles C. Driver, M. Voelkle
semanticscholar +1 more source
IEEE Computer Graphics and Applications, 1999
The tools described, permit including large numbers of complex dynamic models in a VRML world easily and efficiently while maintaining high frame rates. We describe three tools that together provide an environment for authoring cullable, dynamic, rigid-body objects in VRML and Java: a code transformation tool that exploits approximations to dynamical ...
Stephen Chenney +2 more
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The tools described, permit including large numbers of complex dynamic models in a VRML world easily and efficiently while maintaining high frame rates. We describe three tools that together provide an environment for authoring cullable, dynamic, rigid-body objects in VRML and Java: a code transformation tool that exploits approximations to dynamical ...
Stephen Chenney +2 more
openaire +1 more source
Underwater Dynamic Modeling for a Cable-Driven Soft Robot Arm
IEEE/ASME transactions on mechatronics, 2018Soft robotics has attracted great attention because of its potential to overcome safety issues and produce a more harmonious cooperative environment for human beings and robots.
Fan Xu +4 more
semanticscholar +1 more source