Application of several time-frequency analysis methods to the spectral analysis of rock fracture signals; Перспективы развития фундаментальных наук; Т. 1 : Физика

Application of several time-frequency analysis methods to the spectral analysis of rock fracture signals; Перспективы развития фундаментальных наук; Т. 1 : Физика

Bibliographic Details
Parent link:Перспективы развития фундаментальных наук=Prospects of Fundamental Sciences Development: сборник научных трудов XXI Международной конференции студентов, аспирантов и молодых ученых, г. Томск, 23-26 апреля 2024 г./ Национальный исследовательский Томский политехнический университет ; под ред. И. А. Курзиной [и др.].— .— Томск: Изд-во ТПУ
Т. 1 : Физика.— 2024.— С. 374-376
Main Author: Luo J.
Corporate Author: Национальный исследовательский Томский политехнический университет (570)
Other Authors: Dmitrieva S. A. (научный руководитель), Bespalko (Bespal'ko) A. A. Anatoly Alekseevich
Summary:Заглавие с экрана
From a signal processing perspective, the acoustic emission and electromagnetic signals emitted by rocks are non-stationary signals. The Fourier transform, which is commonly used for spectrum analysis, is not suitable for analyzing such signals. To address this problem, we used various time-frequency analysis techniques, such as the short-time Fourier transform, continuous wavelet transform, generalized S transform, and Hilbert-Huang transform (HHT). It was found that HHT provides more accurate time-frequency information and reflects a better frequency aggregation effect comparing to the other methods for analyzing such signals
Текстовый файл
Language:English
Published: 2024
Subjects:
труды учёных ТПУ
электронный ресурс
Hilbert-Huang transform
generalized S transform
wavelet transform
acoustic emission
time-frequency analysis
Online Access:http://earchive.tpu.ru/handle/11683/80508
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=674785

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