Research On AE Signal Extraction Under Noise

The number of acoustic emission event in the process of coal-rock rupture closely relate to the property of rock. If we could extract the acoustic emission signal generated by the superficial surrounding rock rupture, it is essential to find the position of coal and gas outburst and predict the mine earthquake disaster. To make breakthrough progress on predicting and forecasting the coal mine disaster, the fundamental problem is signal distinguish.In theory, this paper discusses how to use adaptive filtering method to eliminate the working-noise of the working face. By analyzing the acoustic emission signal and working-noise in the coal mine, this paper present the feasibility of using adaptive digital cancellation filter to eliminate work-noise in the coal and determinate the position of acoustic emission source. The theory scheme is proved feasibility by analyzing adaptive digital cancellation filter and array signal processing with simulation. It could realize real-time filter calculation and satisfy the position accuracy of acoustic emission.At the same time, use the TMS320C6713 evaluation board to build a test platform for acoustic emission signals. The experiment of filter the shooting working-noise in the Beijing Muchengjian Qiankeng mine shows that this schematic could eliminate the working-noise in the mine better and extract the acoustic emission signal in the strong noise. It will be provided for multi-dimension multiple signal classification algorithms to determine the position of AE signal source.