@inbook{094520cf459346ac8cb640187a9645bb,
title = "A review on two methods to detect spatio-temporal patterns in wind turbines",
abstract = "This Chapter presents a review on two methods for the analysis of flow structures in wind turbines. These methods are higher order dynamic mode decomposition and spatio-temporal Koopman decomposition, which are highly efficient tools suitable for the detection of spatio-temporal patterns in complex flows. These two techniques have been applied to detect the main flow structures in a cross-flow wind turbine in turbulent regime, and in an horizontal wind turbine, which is laminar in the near field but transitioning to turbulence in the far field. Using these methods, a reduced number of traveling waves which are responsible for triggering the flow transition, are able to describe the aforementioned complex flows.",
keywords = "DMD, Flow structures, HODMD, STKD, Wind turbines",
author = "{Le Clainche}, Soledad and Vega, {Jos{\'e} M.} and Xuerui Mao and Esteban Ferrer",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.",
year = "2019",
doi = "10.1007/978-3-030-11887-7_8",
language = "English",
series = "Springer Tracts in Mechanical Engineering",
publisher = "Springer International Publishing",
pages = "83--93",
booktitle = "Springer Tracts in Mechanical Engineering",
address = "Switzerland",
}