Abstract: A method for extracting and correcting a ringing component in a dynamic pressure measurement signal of a shock wave flow field includes: adaptively decomposing a dynamic pressure measurement signal of a shock wave flow field through an empirical mode decomposition (EMD) method, and extracting a ringing component in the dynamic pressure measurement signal of the shock wave flow field; constructing a ringing component distortion correction model through a convolutional neural network (CNN) and a dataset through a staggered spanning dataset construction method; and predicting a time series of a segment with mode mixing in the ringing component, to accurately extract a ringing component in a dynamic pressure response signal. The method combines advantages of an adaptive signal decomposition method and a CNN model identification method.

Abstract: A method for extracting and correcting a ringing component in a dynamic pressure measurement signal of a shock wave flow field includes: adaptively decomposing a dynamic pressure measurement signal of a shock wave flow field through an empirical mode decomposition (EMD) method, and extracting a ringing component in the dynamic pressure measurement signal of the shock wave flow field; constructing a ringing component distortion correction model through a convolutional neural network (CNN) and a dataset through a staggered spanning dataset construction method; and predicting a time series of a segment with mode mixing in the ringing component, to accurately extract a ringing component in a dynamic pressure response signal. The method combines advantages of an adaptive signal decomposition method and a CNN model identification method.