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Research on Aviation Synchronous Generator Dynamic Performance Based on Empirical Mode Decomposition and Support Vector Machine

机译:基于经验模式分解和支持向量机的航空同步发电机动态性能研究

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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.
机译:基于对经验模式分解(EMD)和支持向量机(SVM)算法的深入研究,提出了一种航空同步发电机动态性能模型。首先使用EMD方法来表示模型的输入信号。 SVM方法用于在即时负载和卸载条件下建立同步发电机动态性能的模型。结果表明,模型成功描述了航空同步发电机电压调节的动态瞬态过程,因此证明这种方法是正确可靠的。

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