Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Waechter, Matthias"'
This study introduces an innovative local statistical moment approach for estimating Kramers-Moyal coefficients, effectively bridging the gap between nonparametric and parametric methodologies. These coefficients play a crucial role in characterizing
Externí odkaz:
http://arxiv.org/abs/2408.13555
The measured time series from complex systems are renowned for their intricate stochastic behavior, characterized by random fluctuations stemming from external influences and nonlinear interactions. These fluctuations take diverse forms, ranging from
Externí odkaz:
http://arxiv.org/abs/2310.16722
Autor:
Bette, Henrik M., Wiedemann, Christian, Wächter, Matthias, Freund, Jan, Peinke, Joachim, Guhr, Thomas
Modern wind turbines gather a wealth of data with Supervisory Control And Data Acquisition (SCADA) systems. We study the short-term mutual dependencies of a variety of observables by evaluating Pearson correlation matrices on a moving time window. Us
Externí odkaz:
http://arxiv.org/abs/2310.06098
Autor:
Wiedemann, Christian, Bette, Henrik M., Wächter, Matthias, Freund, Jan A., Guhr, Thomas, Peinke, Joachim
In the last few years, the dynamical characterization of the power output of a wind turbine by means of a Langevin equation has been well established. For this approach, temporally highly resolved measurements of wind speed and power output are used
Externí odkaz:
http://arxiv.org/abs/2305.15512
The power conversion process of a wind turbine can be characterized by a stochastic differential equation (SDE) of the power output conditioned to certain fixed wind speeds. An analogous approach can also be applied to the mechanical loads on a wind
Externí odkaz:
http://arxiv.org/abs/2301.05553
Accurate models of turbulent wind fields have become increasingly important in the atmospheric sciences, e.g., for the determination of spatiotemporal correlations in wind parks, the estimation of individual loads on turbine rotor and blades, or for
Externí odkaz:
http://arxiv.org/abs/2203.16948