In this article, a method for processing acoustic information is presented to assess the correlation relationship of information components and noise of acoustic emission (AE) signals. The method is based on a polynomial approximation of bidirectional Butterworth high and low pass filters. The operability of the processing method on full-scale samples of the noisy AE signal is analyzed and the evaluation of the received processing is carried out on the basis of quantitative indicators. Bidirectional implementation of high-pass filters improves the quality of processing when compared with a low-pass filter. To assess the correlation relationship using the considered processing method, fragments of the information component and noise are isolated from the noisy signal. Based on the selected components, a high correlation relationship between AE information signals and noise has been established.

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The article presents a method for processing an acoustic emission (AE) signal to extract information and noise components from a noisy record. The method is based on digital filtering by polynomial models. To compensate for the introduced distortions by filters, a scheme for bidirectional processing of the AE signal is proposed. The operability of the filtering method for a noisy record is analyzed, and processing is evaluated on the basis of quantitative indicators. The evaluation results showed that the presented filtering method provides stability to the influencing noise and high accuracy of processing the AE signal recording when compared with the closest analogues.