Many important systems, such as turbomachinery, helicopters and wind turbines, must be modeled with linear time-periodic equations of motion to correctly predict resonance phenomena. Time periodic effects in wind turbines might arise due to stratification in the velocity of the wind with height, changes in the aerodynamics of the blades as they pass the tower and/or blade-to-blade manufacturing variations. These effects may cause parametric resonance or other unexpected resonances, so it is important to properly characterize them so that these machines can be designed that achieve the high reliability, safety, and long lifetimes demanded to provide economical power. This work presents an output-only system identification methodology that ca...
Wind energy is becoming increasingly important worldwide as an alternative renewable energy source. ...
Graduation date: 1982An algorithm is developed to compute the time averaged, output\ud statistics of...
The new approach to modal parameter identification, presented in this paper, uses an asymptotically ...
In this work, a new method is proposed for the stability analysis of wind turbines. The method uses ...
The use of trailing edge flaps has developed into a promising technique to reduce loads on large win...
Wind turbines are good examples of time-varying systems as their modal properties depend on their in...
International audienceWind turbines are time-varying systems excited by loads due to the wind and to...
Copyright © Inria (2014). Wind turbines are time-varying systems excited by loads due to the wind an...
A variety of systems can be faithfully modeled as linear with coefficients that vary periodically wi...
International audienceThe inherent modelling of the operational wind turbines and rotating machines ...
Modal parameter estimation, to obtain natural frequencies, modal damping and mode shapes is a key st...
The in–operation output–only identification of wind turbine structural dynamics is considered using ...
International audienceIn this paper, subspace identification for wind turbines and more generally ro...
The stochastic subspace identification (SSI) algorithm is a robust-working method to identify mode s...
This paper describes a methodology for evaluating the modal parameters of complex nonlinear systems....
Wind energy is becoming increasingly important worldwide as an alternative renewable energy source. ...
Graduation date: 1982An algorithm is developed to compute the time averaged, output\ud statistics of...
The new approach to modal parameter identification, presented in this paper, uses an asymptotically ...
In this work, a new method is proposed for the stability analysis of wind turbines. The method uses ...
The use of trailing edge flaps has developed into a promising technique to reduce loads on large win...
Wind turbines are good examples of time-varying systems as their modal properties depend on their in...
International audienceWind turbines are time-varying systems excited by loads due to the wind and to...
Copyright © Inria (2014). Wind turbines are time-varying systems excited by loads due to the wind an...
A variety of systems can be faithfully modeled as linear with coefficients that vary periodically wi...
International audienceThe inherent modelling of the operational wind turbines and rotating machines ...
Modal parameter estimation, to obtain natural frequencies, modal damping and mode shapes is a key st...
The in–operation output–only identification of wind turbine structural dynamics is considered using ...
International audienceIn this paper, subspace identification for wind turbines and more generally ro...
The stochastic subspace identification (SSI) algorithm is a robust-working method to identify mode s...
This paper describes a methodology for evaluating the modal parameters of complex nonlinear systems....
Wind energy is becoming increasingly important worldwide as an alternative renewable energy source. ...
Graduation date: 1982An algorithm is developed to compute the time averaged, output\ud statistics of...
The new approach to modal parameter identification, presented in this paper, uses an asymptotically ...