Estudo de técnicas para localização ótima de sensores para ensaios de vibrações
The study of the sensors optimal positioning for structures assays is crucial for the vibration systems analysis. The poor positioning of these sensors can cause loss of controllability of the system, then can compromise the system analysis and interfere your performance. Several criteria must be re...
| Principais autores: | Vieira, Jéssica Carolina Barbosa, Loureiro, Raíza Marina Vedovatto |
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| Formato: | Trabalho de Conclusão de Curso (Graduação) |
| Idioma: | Português |
| Publicado em: |
Universidade Tecnológica Federal do Paraná
2020
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| Assuntos: | |
| Acesso em linha: |
http://repositorio.utfpr.edu.br/jspui/handle/1/15145 |
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| Resumo: |
The study of the sensors optimal positioning for structures assays is crucial for the vibration systems analysis. The poor positioning of these sensors can cause loss of controllability of the system, then can compromise the system analysis and interfere your performance. Several criteria must be reviewed for the correct choice of the location of sensors, and following this reasoning was made a methodology which were studied and applied different methods, that through modal analysis pursue to find optimal locations where vibration modes and the modal values were best obtained. The methods studied were implemented in MATLAB software, among which are Factor Participation, Residue, Matrix Index Grammiana and Pareto Chart. The characteristics of each method are presented, as well as the formulas and the steps to obtain the matrices results. Getting the results than is possible to determine which position was the most appropriate for each method and choose which methods were more efficient. After the application of the methods, it was concluded that some results obtained were different by the fact that the methods use different techniques to assess the best positioning of the sensors, and thus cannot be compared. Yet for the analysis, it was assumed that the best method studied was the 'Residue' that it generates more concrete information when compared to other methods. But for a more informative analysis and possible future work, would be interesting to combine two methods for obtaining more effective responses. |
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