Research on stress detection method based on sample entropy characteristic of magnetic acoustic emission signal
In order to solve the problem that the characteristic quantity of traditional magnetic acoustic emission(MAE)signal is easily disturbed by noise in stress detection,a stress detection method based on sample entropy eigenvalues of magnetic acoustic emission signals is proposed.Based on the study of the variation law of sample entropy in magnetoacoustic emission signal of Q235 steel sample under 0-400 MPa tensile stress,the effects of excitation intensity,embedding dimension and tolerance coefficient on the characteristic quantity of sample entropy of magnetic acoustic emission signal are analyzed.The results show that the sample entropy characteristic quantity of magnetic acoustic emission signal has a good corresponding relationship with stress,and compared with the traditional time-domain characteristic quantity(peak to peak value and root mean square value),the fluctuation index of sample entropy decreases by 89%and 33%respectively,the average error between the stress value calculated from the sample entropy value and the actual stress value is only 8.5%under the selected excitation conditions.It is less disturbed by noise and has better consistency,which is more suitable for the stress feature extraction of magnetic acoustic emission signal.
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