Utilização de observadores de estado bem-condicionados para a detecção de falhas em sistemas mecânicos
For this study, it was applied the Kalman Estimator to the design of Global and Robusts State Observers in order to improve its conditioning by software programming in MATLAB®. For this, was studied a program in MATLAB® developed for fail identification and localization by vibration analysis in a ma...
| Autor principal: | Carvalho Júnior, Fernando César de |
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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/1/7232 |
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| Resumo: |
For this study, it was applied the Kalman Estimator to the design of Global and Robusts State Observers in order to improve its conditioning by software programming in MATLAB®. For this, was studied a program in MATLAB® developed for fail identification and localization by vibration analysis in a mass-spring-damp dynamic system with three degrees of freedom by the utilization of Global and Robusts States Observers. To obtain State Observers wellconditioned, was applied an performance index in order to obtain the best
conditioning of the State Observers designed in this study by Kalman Filter. After the identification of the best parameters values for the observers conditioning, was applied some known flaws for the purpose of validate the state observers designed for flaws identification and localization. |
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