A method for locating acoustic emission events by removing systematic observation errors of p-wave first arrivals

Abstract

The invention discloses an acoustic emission event Bayes positioning method, system and medium for removing P-wave first-arrival system observation errors. The method: firstly adopts a low-pass filter to reduce the noise of the high-frequency noise of the acoustic emission signal; picks up and determines the acoustic emission signal P-wave first arrival; establish a Bayesian positioning posterior probability density function based on the difference between P-wave first-arrival theoretical data and observed data; then use Markov chain Monte Carlo sampling method to iteratively solve the P-wave first-arrival system observation error; Pick up time t ij Adding P wave first arrival systematic observation error T j , to obtain the corrected P-wave first arrival data; and then use the Bayesian location posterior probability density function and MCMC sampling method to locate the corrected P-wave first-arrival data. This method picks up P-wave first-arrival data quickly and with high precision, which can remove P-wave first-arrival systematic observation errors and improve the accuracy of P-wave first-arrival data. The Bayesian positioning method is easy to obtain the global optimal solution.

Description

technical field [0001] The invention belongs to the field of acoustic emission, and in particular relates to an acoustic emission event Bayes positioning method, system and medium for removing P-wave first-arrival system observation errors. Background technique [0002] The quality of picking up P waves at the first arrival is directly related to the positioning accuracy of AE events. At present, the absolute arrival time method is commonly used to determine the first arrival of P wave, such as the ratio of the mean ratio of long and short time windows, the autoregressive pool red criterion method, the kurtosis method, the skewness method, the fractal dimension method, the superior period method and the artificial neural network method. The above method for picking the absolute arrival time of the first arrival of the P wave uses the take-off point of the amplitude of a single waveform. However, due to the background noise and the wavefront healing effect of wave field propa...

AI Technical Summary

Problems solved by technology

[0006] The present invention proposes an acoustic emission event Bayes positioning method, system and medium for removing P-wave first-arrival system observation errors. The method aims at the instability of the existing P-wave first-arrival picking method, and proposes to use "A Mine Microseismic Signal P-wave Combined picking method at the time of first arrival "Automatically pick up the first arrival of P wave, and use manual methods to correct the signal of poor picking and no first arrival of P wave, which reduces the error picking rate and enhances the stability of automatic picking of first arrival of P wave

Images