中文说明：利用经验模态分解进行故障预测，信号分析。经验模态分解（Empirical Mode Decomposition,EMD）法是黄锷（N. E. Huang）在美国国家宇航局与其他人于1998年创造性地提出的一种新型自适应信号时频处理方法，特别适用于非线性非平稳信号的分析处理。
English Description：
Empirical mode decomposition (EMD) is used for fault prediction and signal analysis. Empirical mode decomposition (EMD) is a new adaptive signal time-frequency processing method creatively proposed by N. E. Huang at NASA and others in 1998. It is especially suitable for the analysis and processing of non-linear and non-stationary signals.