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A new automatic bearing fault size diagnosis using time-frequency images of CWT and deep transfer learning methods
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Published in: | Elektrik : Turkish journal of electrical engineering & computer sciences 2022-01, Vol.30 (5), p.1851-1867 |
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Format: | Article |
Language: | English |
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container_end_page | 1867 |
container_issue | 5 |
container_start_page | 1851 |
container_title | Elektrik : Turkish journal of electrical engineering & computer sciences |
container_volume | 30 |
creator | KAYA, YILMAZ KUNCAN, FATMA ERTUNÇ, HÜSEYİN METİN |
description | |
doi_str_mv | 10.55730/1300-0632.3909 |
format | article |
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identifier | ISSN: 1300-0632 |
ispartof | Elektrik : Turkish journal of electrical engineering & computer sciences, 2022-01, Vol.30 (5), p.1851-1867 |
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language | eng |
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source | Free E-Journal (出版社公開部分のみ) |
title | A new automatic bearing fault size diagnosis using time-frequency images of CWT and deep transfer learning methods |
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