Research on Aviation Synchronous Generator Dynamic Performance Based on Empirical Mode Decomposition and Support Vector Machine
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.
empirical mode decomposition dynamic performance support vector machine synchronous generator
Wei Tang Dongchao Yan Chuang Guo
College of Engineering, Air Force Engineering University12th team of Graduate Management Battalion o College of Engineering, Air Force Engineering University 12th team of Graduate Management Battalion
国际会议
IEEE 10th International Conference on Industrial Informatics(第十届IEEE工业信息学国际学术会议 INDIN2012)
北京
英文
729-734
2012-07-25(万方平台首次上网日期,不代表论文的发表时间)