Flutter monitoring method and system in high-speed milling process and storable medium

The invention discloses a flutter monitoring method and system in the high-speed milling machining process and a storable medium, and relates to the technical field of machining online monitoring, and the method comprises the steps that flutter signals in the high-speed milling machining process are collected through a plurality of sensors, preprocessing by using a comb filter and performing ensemble empirical mode decomposition on the preprocessed sensing signal to obtain a series of intrinsic mode functions IMFs, and selecting a plurality of IMFs from the IMFs to be superposed to form a new signal; extracting time domain, frequency domain and time-frequency domain features to obtain a high-dimensional feature vector, and performing feature dimension reduction by adopting a manifold learning method to obtain a low-dimensional feature vector; and establishing each multi-source uncertain flutter state monitoring model, and performing model parameter training and flutter state identification by taking the low-d