Abstract <p>As part of the study, it was established that the majority of recorded signals were the result of technogenic noise; filtering criteria were proposed that are common to the entire acoustic emission (AE) monitoring system. The amplitude and duration of the AE signal were chosen as the filtering parameters, and their compliance with physically justified distributions was chosen as the criterion. At the current stage, this proved insufficient; it became necessary to evaluate the performance and noise levels of individual channels. The results of such an assessment, carried out for different daily recording cycles, are demonstrated by the example of a daily file containing more than 3 mln records. It is shown that one of the most important decisions when setting up an AE system is the choice of frequency filter. It is noted that when using the AE method, one should recall that each control object has its own unique properties.</p>

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Filtering of Technogenic Interference during Acoustic Emission Monitoring

  • Kh. F. Makhmudov,
  • P. I. Afanasev

摘要

Abstract

As part of the study, it was established that the majority of recorded signals were the result of technogenic noise; filtering criteria were proposed that are common to the entire acoustic emission (AE) monitoring system. The amplitude and duration of the AE signal were chosen as the filtering parameters, and their compliance with physically justified distributions was chosen as the criterion. At the current stage, this proved insufficient; it became necessary to evaluate the performance and noise levels of individual channels. The results of such an assessment, carried out for different daily recording cycles, are demonstrated by the example of a daily file containing more than 3 mln records. It is shown that one of the most important decisions when setting up an AE system is the choice of frequency filter. It is noted that when using the AE method, one should recall that each control object has its own unique properties.