Automated program of Ensemble Empirical Mode Decomposition

Abstract

The ensemble empirical mode decomposition (EEMD) method is applied for wind data analysis in the current research However calculations could take a very long time Therefore an attempt is made to accelerate the calculations MATLAB and Python are used to explore the characteristics of different programming language operations and a user-friendly graphical interface is also developed and the execution process will be operated automatically and continuously The wind data analyzed were collected by the wind turbines located on campus of Case Western Reserve University in the United States The wind data have been collecting since 2012 and the amount of data keeps growing Thus reducing the analyzing time is important This study not only wants to use the graphics processor to try to shorten the time required for the operation process but also finds the approximation trend in EEMD and refines the algorithm to shorten the operation time by about 65%

Date of Award	2019
Original language	English
Supervisor	Jiun-Jih Miau (Supervisor)