| Title: | Adaptive wavelet transform method to identify cracks in gears |
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| Authors: | ID Belšak, Aleš (Author)
ID Flašker, Jože (Author) |
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| Files: |  EURASIP_Journal_on_Advances_in_Signal_Processing_2010_Belsak,_Flasker_Adaptive_Wavelet_Transform_Method_to_Identify_Cracks_in_Gears.pdf (3,35 MB)
MD5: 3FE0D367AB076B9913C1FD40193C0EFD
 https://asp-eurasipjournals.springeropen.com/articles/10.1155/2010/879875
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| Language: | English |
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| Work type: | Scientific work |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FS - Faculty of Mechanical Engineering
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| Abstract: | Many damages and faults can cause problems in gear unit operation. A crack in the tooth root is probably the least desirable among them. It often leads to failure of gear unit operation. By monitoring vibrations, it is possible to determine the presence of a crack. Signals are, however, very noisy. This makes it difficult to define properties of individual components. Wavelet analysis is an effective tool for analysing signals and for defining properties. In this paper, a denoising method based on wavelet analysis, which takes prior information about impulse probability density into consideration, is used to identify transient information from vibration signals of a gear unit with a fatigue crack in the tooth root. |
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| Keywords: | gear unit, wavelet analysis, wavelet denoising |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Year of publishing: | 2010 |
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| Number of pages: | str. 1-8 |
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| Numbering: | Letn. 2010 |
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| PID: | 20.500.12556/DKUM-66440  |
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| ISSN: | 1687-6172 |
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| UDC: | 621.8:534 |
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| ISSN on article: | 1687-6172 |
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| COBISS.SI-ID: | 14346006 |
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| DOI: | 10.1155/2010/879875 |
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| NUK URN: | URN:SI:UM:DK:OVLNA74M |
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| Publication date in DKUM: | 26.06.2017 |
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| Views: | 1390 |
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| Downloads: | 411 |
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| Metadata: |    |
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| Categories: | Misc.
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