Genetic algorithms to determine the optimal parameters of an ensemble local mean decomposition
An optimization method for an ensemble local mean decomposition (ELMD) parameters selection using genetic algorithms is proposed. The execution of this technique depends heavily on the correct choice of the parameters of its model as pointed out in previous works. The effectiveness of the proposed m...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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CTU Central Library
2021-06-01
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| Series: | Acta Polytechnica |
| Subjects: | |
| Online Access: | https://ojs.cvut.cz/ojs/index.php/ap/article/view/5687 |
| _version_ | 1818452975934242816 |
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| author | Willian T. F. D. Silva Filipe D. D. M. Borges |
| author_facet | Willian T. F. D. Silva Filipe D. D. M. Borges |
| author_sort | Willian T. F. D. Silva |
| collection | DOAJ |
| description | An optimization method for an ensemble local mean decomposition (ELMD) parameters selection using genetic algorithms is proposed. The execution of this technique depends heavily on the correct choice of the parameters of its model as pointed out in previous works. The effectiveness of the proposed method was evaluated using synthetic signals, discussed by several authors. The resulting algorithm obtained similar results to OELMD, but with an 82% reduction in processing time. Actual vibration signals were also analysed, presenting satisfactory results. |
| first_indexed | 2024-12-14T21:31:38Z |
| format | Article |
| id | doaj.art-efdbde8d826f4df59de888ef0b1ae6cf |
| institution | Directory Open Access Journal |
| issn | 1210-2709 1805-2363 |
| language | English |
| last_indexed | 2024-12-14T21:31:38Z |
| publishDate | 2021-06-01 |
| publisher | CTU Central Library |
| record_format | Article |
| series | Acta Polytechnica |
| spelling | doaj.art-efdbde8d826f4df59de888ef0b1ae6cf2022-12-21T22:46:40ZengCTU Central LibraryActa Polytechnica1210-27091805-23632021-06-0161346547510.14311/AP.2021.61.04653066Genetic algorithms to determine the optimal parameters of an ensemble local mean decompositionWillian T. F. D. Silva0Filipe D. D. M. Borges1Western Paraná State University, Engineering and Exact Sciences Center, Av. Tancredo Neves, 6731, 85867-970, Foz do Iguaçu/PR, BrazilWestern Paraná State University, Engineering and Exact Sciences Center, Av. Tancredo Neves, 6731, 85867-970, Foz do Iguaçu/PR, BrazilAn optimization method for an ensemble local mean decomposition (ELMD) parameters selection using genetic algorithms is proposed. The execution of this technique depends heavily on the correct choice of the parameters of its model as pointed out in previous works. The effectiveness of the proposed method was evaluated using synthetic signals, discussed by several authors. The resulting algorithm obtained similar results to OELMD, but with an 82% reduction in processing time. Actual vibration signals were also analysed, presenting satisfactory results.https://ojs.cvut.cz/ojs/index.php/ap/article/view/5687ensemble local mean decompositiongenetic algorithmssignal processingoptimization. |
| spellingShingle | Willian T. F. D. Silva Filipe D. D. M. Borges Genetic algorithms to determine the optimal parameters of an ensemble local mean decomposition Acta Polytechnica ensemble local mean decomposition genetic algorithms signal processing optimization. |
| title | Genetic algorithms to determine the optimal parameters of an ensemble local mean decomposition |
| title_full | Genetic algorithms to determine the optimal parameters of an ensemble local mean decomposition |
| title_fullStr | Genetic algorithms to determine the optimal parameters of an ensemble local mean decomposition |
| title_full_unstemmed | Genetic algorithms to determine the optimal parameters of an ensemble local mean decomposition |
| title_short | Genetic algorithms to determine the optimal parameters of an ensemble local mean decomposition |
| title_sort | genetic algorithms to determine the optimal parameters of an ensemble local mean decomposition |
| topic | ensemble local mean decomposition genetic algorithms signal processing optimization. |
| url | https://ojs.cvut.cz/ojs/index.php/ap/article/view/5687 |
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