The use of empirical mode decomposition (EMD) method and wavelet analysis in combination is explored for the detection of changes in the structural response data from structural damage diagnosis.
采用经验模式分解(EMD)与小波分析相结合的方法探讨结构响应数据信号，进行建筑结构损伤检测诊断。
Based on Empirical Mode Decomposition (EMD), a new method was presented to monitor flow pattern of oil-gas two-phase flow by using energy evaluation and threshold probability statistical technique.
基于经验模态分解技术，采用能量评估和阈值概率统计手段，提出了一种油气两相流流型状态监测的新方法。
In this paper, a freight car rolling element bearings fault diagnosis method based on Empirical Mode Decomposition(EMD) and adaptive short_time Fourier transform(STFT) is proposed.
提出了一种结合经验模态分解（EMD）和自适应短时傅里叶变换（STFT）的铁路货车滚动轴承故障诊断方法。
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