title: ÐÐ½Ð°Ð»Ð¸Ð· Ð´Ð°Ð½Ð½ÑÑ Ð°ÐºÑÑÑÐ¸ÑÐµÑÐºÐ¾Ð¹ ÑÐ¼Ð¸ÑÑÐ¸Ð¸ Ð´Ð»Ñ Ð²ÑÑÐ²Ð»ÐµÐ½Ð¸Ñ Ð´ÐµÑÐµÐºÑÐ¾Ð² Ð¿ÑÐ¸ Ð¸ÑÐ¿ÑÑÐ°Ð½Ð¸ÑÑ ÐºÐ¾Ð½ÑÑÑÑÐºÑÐ¸Ð¹ Ð¸ ÑÐ²Ð°ÑÐ¾ÑÐ½ÑÑ ÑÐ°Ð±Ð¾ÑÐ°Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Acoustic emission data analysis for defect detection during testing of structures and welding
Creators: name: Ð¡ÑÐ¾ÑÐ½Ð¾Ð²ÑÐºÐ¸Ð¹, ÐÐµÐ²
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2020
Subjects: Ð°ÐºÑÑÑÐ¸ÑÐµÑÐºÐ°Ñ ÑÐ¼Ð¸ÑÑÐ¸Ñ
Ð°Ð½Ð°Ð»Ð¸Ð· Ð´Ð°Ð½Ð½ÑÑ
ÐºÐ»Ð°ÑÑÐµÑÐ¸Ð·Ð°ÑÐ¸Ñ
acoustic emission
data analysis
clustering

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description: This paper discusses the application of data analysis to problems of acoustic emission. A comparison of various data analysis algorithms was carried out in relation to the tasks of welding control and structural testing using acoustic emission (analysis of various algorithms, mainly clustering algorithms, as well as approaches to their optimization). Based on the analysis of algorithms and previous approaches to solving problems, methods for solving these problems were created and tested. The obtained approaches allow us to identify clusters of homogeneous acoustic emission signals automatically in real time, which increases accuracy and allows us to standardize the result of signal processing, simplify the search for defects in welds during various welding operations, and improve the detection of defects during structural testing.