Pipeline leakage acoustic emission signal processing method based on compressed sensing and HHT in mask signal method
A technology of acoustic emission signal and mask signal, which is applied in the pipeline system, mechanical equipment, gas/liquid distribution and storage, etc. It can solve the problem that the signal amplitude-frequency ratio does not meet the requirements, the ideal detection effect cannot be achieved, and the mode mixing, etc. problem, to achieve the effect of reducing data acquisition cost, suppressing modal aliasing, and facilitating feature extraction
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[0028] detailed description
[0029] The purpose of the present invention is to solve the problem of ultra-high frequency and big data transmission and storage in the acoustic emission signal detection technology, and obtain accurate decomposition results to provide the possibility of feature extraction, classification and positioning. That is, the compressed sensing theory is introduced into the acoustic emission signal detection technology, and then the EMD decomposition method with the mask signal is used to decompose the acoustic emission signal, and the Hilbert transform is performed on the components to determine the start and end time of the leakage, the compressed sensing theory; and The signal analysis method of adding the Hilbert-Huang transform of the mask signal.
[0030] The specific treatment plan is:
[0031] Step 1: Obtain the original acoustic emission signal filtering. Since the leakage acoustic emission signal has a certain frequency domain, a Butterworth low-p...
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