developed a hybrid model based on EEMD and a general regression neural network (GRNN) to predict PM2.5 concentration, and obtained accurate results [2]. Liu et al. presented four different hybrid models by combining four signal decomposing algorithms (e.g., wavelet decomposition (WD)/wavelet ...
摘要:针对电动汽车驱动用永磁同步电机噪声源问题,采用集合经验模态分解(EEMD)结合鲁棒性独立成分分析(Robust-ICA)方法对电机噪声信号进行分解与分离,利用傅里叶变换与小波变换相结合的方法对各噪声源进行频域与时频域分析。结果表明,EEMD-RobustICA的方法可以有效地识别出该永磁同步电机的主要独立噪声源,各噪声源的贡献量...