Application of several time-frequency analysis methods to the spectral analysis of rock fracture signals; Перспективы развития фундаментальных наук; Т. 1 : Физика
| 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 |
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| Diğer Yazarlar: | , |
| Özet: | 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 |
| Dil: | İngilizce |
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2024
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| Online Erişim: | http://earchive.tpu.ru/handle/11683/80508 |
| Materyal Türü: | Elektronik Kitap Bölümü |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=674785 |
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| 200 | 1 | |a Application of several time-frequency analysis methods to the spectral analysis of rock fracture signals |f J. Luo, S. A. Dmitrieva |g Scientific Supervisor A. A. Bespal’ko ; Tomsk Polytechnic University | |
| 300 | |a Заглавие с экрана | ||
| 320 | |a References : 2 names | ||
| 330 | |a 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 | ||
| 336 | |a Текстовый файл | ||
| 461 | 1 | |0 674010 |t Перспективы развития фундаментальных наук |l Prospects of Fundamental Sciences Development |o сборник научных трудов XXI Международной конференции студентов, аспирантов и молодых ученых, г. Томск, 23-26 апреля 2024 г. |9 674010 |c Томск |n Изд-во ТПУ |f Национальный исследовательский Томский политехнический университет ; под ред. И. А. Курзиной [и др.] | |
| 463 | 1 | |0 674235 |t Т. 1 : Физика |v С. 374-376 |d 2024 |9 674235 |p 1 файл (66,9 MB, 392 с.) |u conference_tpu-2024-C21_V1.pdf |l Vol. 1 : Physics | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a Hilbert-Huang transform | |
| 610 | 1 | |a generalized S transform | |
| 610 | 1 | |a wavelet transform | |
| 610 | 1 | |a acoustic emission | |
| 610 | 1 | |a time-frequency analysis | |
| 700 | 1 | |a Luo |b J. | |
| 701 | 1 | |a Dmitrieva |b S. A. | |
| 702 | 1 | |a Bespalko (Bespal'ko) |b A. A. |c physicist |c Leading researcher of Tomsk Polytechnic University, Candidate of physical and mathematical sciences |f 1948- |g Anatoly Alekseevich |4 727 |9 16232 | |
| 712 | 0 | 2 | |a Национальный исследовательский Томский политехнический университет |c (2009- ) |9 26305 |4 570 |
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