Abstract
Using acoustic emission signal as the detection medium for particle characteristic parameters has the advantages of real-time, non-destructive, safe, and non-invasive flow field. In order to extract the rich information contained in the acoustic emission signal and establish the quantitative relationship between the acoustic emission signal and the particle characteristic parameters, it is necessary to carry out a series of mathematical processes on the acoustic emission signal in order to extract valuable features from it, and then take these features as the model variables and, through modern modeling methods, establish the quantitative relationship between the acoustic emission signal mode characteristics and the particle characteristic parameters. This chapter first introduces the application status and research progress of acoustic emission technology in chemical processes, then introduces the processing methods of acoustic emission signals, and finally focuses on the basic principles of wavelet (packet) analysis, the types of wavelet (packet) functions, the Mallat algorithm, signal wavelet (packet) noise reduction, and other basic theories, as well as the research progress of particle detection based on modern modeling technology of acoustic emission signals.
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