Add to ORKGGraduation date: 1982An algorithm is developed to compute the time averaged, output\ud statistics of a linear system with periodic coefficients forced by\ud stationary white noise. The algorithm makes use of Floquet theory\ud and introduces the averaged system dynamics matrix to obtain more\ud favorable numerical performance. The time series approach to\ud averaged statistics is also examined. Application is made to a\ud wind turbine system with atmospheric turbulence
This paper is concerned with the detection of natural periods and damping factors from uniformlysamp...
International audienceThe inherent modelling of the operational wind turbines and rotating machines ...
A variety of systems can be faithfully modeled as linear with coefficients that vary periodically wi...
An algorithm is developed to compute the time averaged, output statistics of a linear system with pe...
In this work, a new method is proposed for the stability analysis of wind turbines. The method uses ...
Many important systems, such as turbomachinery, helicopters and wind turbines, must be modeled with ...
In this work a method is described for the stability analysis of wind turbines. The method uses inpu...
Today, the great importance and benefits of renewable energies as a source of endless energy is obvi...
The stochastic subspace identification (SSI) algorithm is a robust-working method to identify mode s...
The paper presents a new stability analysis approach applicable to wind turbines. At first, a reduce...
The formulation is model-independent, in the sense that it does not require knowledge of the equatio...
In this paper time-frequency methods have been investigated for complex investigations of transient ...
International audienceThe modal analysis of a wind turbine has been generally handled with the assum...
International audienceIn this paper, subspace identification for wind turbines and more generally ro...
The use of trailing edge flaps has developed into a promising technique to reduce loads on large win...
This paper is concerned with the detection of natural periods and damping factors from uniformlysamp...
International audienceThe inherent modelling of the operational wind turbines and rotating machines ...
A variety of systems can be faithfully modeled as linear with coefficients that vary periodically wi...
An algorithm is developed to compute the time averaged, output statistics of a linear system with pe...
In this work, a new method is proposed for the stability analysis of wind turbines. The method uses ...
Many important systems, such as turbomachinery, helicopters and wind turbines, must be modeled with ...
In this work a method is described for the stability analysis of wind turbines. The method uses inpu...
Today, the great importance and benefits of renewable energies as a source of endless energy is obvi...
The stochastic subspace identification (SSI) algorithm is a robust-working method to identify mode s...
The paper presents a new stability analysis approach applicable to wind turbines. At first, a reduce...
The formulation is model-independent, in the sense that it does not require knowledge of the equatio...
In this paper time-frequency methods have been investigated for complex investigations of transient ...
International audienceThe modal analysis of a wind turbine has been generally handled with the assum...
International audienceIn this paper, subspace identification for wind turbines and more generally ro...
The use of trailing edge flaps has developed into a promising technique to reduce loads on large win...
This paper is concerned with the detection of natural periods and damping factors from uniformlysamp...
International audienceThe inherent modelling of the operational wind turbines and rotating machines ...
A variety of systems can be faithfully modeled as linear with coefficients that vary periodically wi...