Method for Separation of Electromagnetic Responses of Mechanoelectrical Transformations Under the Impact of External Noise / A. P. Surzhikov [et al.]
Уровень набора: (RuTPU)RU\TPU\network\4526, MATEC Web of ConferencesЯзык: английский.Резюме или реферат: The paper addresses the diagnosis of the presence of defects in concrete, cement-sand and other building and structure mixes using mechanoelectrical transformations. The problem of high levels of electromagnetic noise and interference affecting the correct interpretation of the data to diagnose presence of defects is considered. A version of the electromagnetic response from the unit heterogeneity is proposed, and the assumption of the total electromagnetic signal is suggested. The experiment on acoustic excitation of the sample was conducted and the electromagnetic responses were recorded and filtered using the correlation analysis. The obtained result was compared to the model one to confirm the single response model..Примечания о наличии в документе библиографии/указателя: [References: 13 tit.].Тематика: электронный ресурс | труды учёных ТПУ | электромагнитные отклики | шумы | дефекты | акустическое возбуждение | корреляционный анализ | смеси | электромагнитные помехи | неоднородности Ресурсы он-лайн:Щелкните здесь для доступа в онлайн | Щелкните здесь для доступа в онлайнTitle screen
[References: 13 tit.]
The paper addresses the diagnosis of the presence of defects in concrete, cement-sand and other building and structure mixes using mechanoelectrical transformations. The problem of high levels of electromagnetic noise and interference affecting the correct interpretation of the data to diagnose presence of defects is considered. A version of the electromagnetic response from the unit heterogeneity is proposed, and the assumption of the total electromagnetic signal is suggested. The experiment on acoustic excitation of the sample was conducted and the electromagnetic responses were recorded and filtered using the correlation analysis. The obtained result was compared to the model one to confirm the single response model.
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