Review of Recent Advances in the Application of the Wavelet Transform to Diagnose Cracked Rotors
Wavelet transform (WT) has been used in the diagnosis of cracked rotors since the 1990s. At present, WT is one of the most commonly used tools to treat signals in several fields. Understandably, this has been an area of extensive scientific research, which is why this paper aims to summarize briefly...
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-03-01
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| Series: | Algorithms |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1999-4893/9/1/19 |
| _version_ | 1818526028108136448 |
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| author | María J. Gómez Cristina Castejón Juan C. García-Prada |
| author_facet | María J. Gómez Cristina Castejón Juan C. García-Prada |
| author_sort | María J. Gómez |
| collection | DOAJ |
| description | Wavelet transform (WT) has been used in the diagnosis of cracked rotors since the 1990s. At present, WT is one of the most commonly used tools to treat signals in several fields. Understandably, this has been an area of extensive scientific research, which is why this paper aims to summarize briefly the major advances in the field since 2008. The present review considers advances in the use and application of WT, the selection of the parameters used, and the key achievements in using WT for crack diagnosis. |
| first_indexed | 2024-12-11T06:17:24Z |
| format | Article |
| id | doaj.art-3c5e46496fc547a0877aec81067f68d6 |
| institution | Directory Open Access Journal |
| issn | 1999-4893 |
| language | English |
| last_indexed | 2024-12-11T06:17:24Z |
| publishDate | 2016-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Algorithms |
| spelling | doaj.art-3c5e46496fc547a0877aec81067f68d62022-12-22T01:17:55ZengMDPI AGAlgorithms1999-48932016-03-01911910.3390/a9010019a9010019Review of Recent Advances in the Application of the Wavelet Transform to Diagnose Cracked RotorsMaría J. Gómez0Cristina Castejón1Juan C. García-Prada2Maqlab Group, Mechanical Engineering Department, University Carlos III of Madrid, Av. de la Universidad, 30, Leganés, Madrid 28911, SpainMaqlab Group, Mechanical Engineering Department, University Carlos III of Madrid, Av. de la Universidad, 30, Leganés, Madrid 28911, SpainMaqlab Group, Mechanical Engineering Department, University Carlos III of Madrid, Av. de la Universidad, 30, Leganés, Madrid 28911, SpainWavelet transform (WT) has been used in the diagnosis of cracked rotors since the 1990s. At present, WT is one of the most commonly used tools to treat signals in several fields. Understandably, this has been an area of extensive scientific research, which is why this paper aims to summarize briefly the major advances in the field since 2008. The present review considers advances in the use and application of WT, the selection of the parameters used, and the key achievements in using WT for crack diagnosis.http://www.mdpi.com/1999-4893/9/1/19crack detectionvibration signalswavelet transformcondition monitoring |
| spellingShingle | María J. Gómez Cristina Castejón Juan C. García-Prada Review of Recent Advances in the Application of the Wavelet Transform to Diagnose Cracked Rotors Algorithms crack detection vibration signals wavelet transform condition monitoring |
| title | Review of Recent Advances in the Application of the Wavelet Transform to Diagnose Cracked Rotors |
| title_full | Review of Recent Advances in the Application of the Wavelet Transform to Diagnose Cracked Rotors |
| title_fullStr | Review of Recent Advances in the Application of the Wavelet Transform to Diagnose Cracked Rotors |
| title_full_unstemmed | Review of Recent Advances in the Application of the Wavelet Transform to Diagnose Cracked Rotors |
| title_short | Review of Recent Advances in the Application of the Wavelet Transform to Diagnose Cracked Rotors |
| title_sort | review of recent advances in the application of the wavelet transform to diagnose cracked rotors |
| topic | crack detection vibration signals wavelet transform condition monitoring |
| url | http://www.mdpi.com/1999-4893/9/1/19 |
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