Method for identifying fine crack impact signal of metal deep drawing part
A technology of tiny cracks and identification methods, which is applied in the processing of detected response signals and the use of acoustic emission technology for material analysis, etc. The effect of reducing the number of samples
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[0014] Such as figure 1 As shown, the present invention amplifies, filters, A / D converts, and normalizes the collected acoustic emission signals of cracks in metal parts. The frequency characteristics of noise, eliminating noise and friction and wear signals, that is, performing wavelet denoising processing on the signal; reconstructing the denoised signal, and then performing autoregressive spectrum analysis, selecting energy parameters, and forming the feature vector required for identifying defects , and finally use fuzzy comprehensive evaluation to realize accurate identification of cracks. Specific steps are as follows:
[0015] First, the acoustic emission sensor is used to collect the acoustic emission original grain impact signal of the early micro cracks in the metal, and the necessary preprocessing is performed on the collected signal. The preprocessing includes pre-amplification, filtering and A / D conversion of the signal. After the preprocessing Input the signal ...
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