Title :
Research on aviation synchronous generator dynamic performance based on empirical mode decomposition and support vector machine
Author :
Tang, Wei ; Yan, Dongchao ; Guo, Chuang
Author_Institution :
Coll. of Eng., Air Force Eng. Univ., Xi´´an, China
Abstract :
Based on the in-depth study of empirical mode decomposition (EMD) and support vector machine (SVM) algorithm, a model for aviation synchronous generator dynamic performance was presented. The EMD method was firstly used to denoise the input signal of the model. The SVM method was used to establish the model of synchronous generator´s dynamic performance under the condition of instant load and unload. The results showed that the dynamic transient process of aviation synchronous generator´s voltage regulation was successfully described by the model, so this method was proven to be correct and reliable.
Keywords :
aerospace computing; dynamic programming; power engineering computing; space power generation; support vector machines; synchronous generators; EMD; SVM; aviation synchronous generator dynamic performance; dynamic transient process; empirical mode decomposition; support vector machine; synchronous generator voltage regulation; Aircraft; Atmospheric modeling; Generators; Load modeling; Noise; Power system dynamics; Support vector machines; dynamic performance; empirical mode decomposition; support vector machine; synchronous generator;
Conference_Titel :
Industrial Informatics (INDIN), 2012 10th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-0312-5
DOI :
10.1109/INDIN.2012.6301161