Abstract: This work is devoted to the study of changes in the amplitude of discrete acoustic emission (AE) signals from various sources, for example, fatigue cracks. Importance is the analysis of discrete AE in critical facilities for predicting a healthy state: pressure vessels, pipelines, objects of aircraft, building structures, etc. Identification of defects types by AE parameters is an urgent task. The article presents the results of loading samples of low alloy and low carbon steels with stress concentrators under various exposure conditions. Static, cyclic and combined types of loading were carried out. The purpose of the work is to analyze the frequency of the signals distribution from one source over the amplitudes. The results of the study can be applied when searching for a criterion for determining the type of defect, as well as the stage of its growth. A growing crack is characterized by a power-law distribution of the signals amplitudes. The use of cyclic test data helps to increase the reliability of identifying the type of defect and finding it. In addition, the amplitude distribution of signals can be used to identify some types of sources (for example, fatigue cracks) against the background of AE from other sources. Also, research data allows the restoration of some flow parameters in a discrete AE. The combined use of probabilistic assessment methods and the results of other non-destructive testing methods are necessary to assess the danger of defects.
Index terms: acoustic emission, stress concentrator, fatigue crack, flow parameters, amplitude distribution.


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