Modelagem com aprendizado de máquina aplicada aos sistemas de monitoramento de integridade estrutural
Carregando...
Data
2021-03-25
Autores
Título da Revista
ISSN da Revista
Título de Volume
Editor
Universidade Federal de Goiás
Resumo
Structural Health Monitoring (SHM) using the electromechanical impedance method focuses on
the development of systems responsible for monitoring the integrity of structures, such as,
aerospace fuselage and metallic structures. Therefore, the use of computational tools and
resources are essential. The identification, location, quantification of damage or even the
prediction of the useful life of mechanical systems plays a fundamental role in ensuring the
financial and public safety. That way, the use of machine learning tools is possible to perform
such functions due to their high ability to identify patterns without needing to compensate for
natural effects such as loading and temperature, which often act on mechanical structures.
Thus, three possible approaches were applied for the development of models to be used in
structural health monitoring systems, which are: anomalies detection, multi classification of
damage and mass variation regression. To develop the approaches, an experiment was carried
out simulating the structural damage produced by the surface machining process in a
aluminum beam exposed to thermal variations between 10 ◦ C and 40 ◦ C. Systems that use
machine learning have models developed with unique specifications intrinsic to the problem
and, for their development, it is necessary to use tools and methods capable of performing
their functions with high reliability and precision. In this sense, the main concepts of structural
integrity monitoring techniques and the characteristics of intelligent materials used as sensors
were presented. Subsequently, the electromechanical impedance method was approached
with the essential concepts for its understanding, as well as the main systems available for
collecting impedance signatures and the commonly used statistical models. Then, the common
concepts and resources in the artificial intelligence field were presented, as well as tools for
the analysis, interpretation and evaluation of models. Finally, a system was deployed
containing the anomalie detection approach by means of a monitoring application, using the
resources of containerization and cloud computing.
Descrição
Palavras-chave
Impedância eletromecânica, Monitoramento da integridade estrutural, Sistemas de monitoramento de integridade estrutural, Aprendizado de máquina, Inteligência artificial, Electromechanical impedance, Structural health monitoring, Structural health monitoring systems, Machine learning, Artificial intelligence
Citação
BARELLA, B. P. Modelagem com aprendizado de máquina aplicada aos sistemas de monitoramento de integridade estrutural. 2021. 156 f. Dissertação (Mestrado em Modelagem e Otimização) - Universidade Federal de Goiás, Catalão, 2021.