An hybrid artificial inteligence aplied to diagnosis of failures in aeronautical and civil structures / Uma inteligência artificial híbrida aplicada ao diagnóstico de falhas em estruturas aeronáuticas e civis

• Autor(a) principal: Lima, Fernando Parra dos Anjos
• Data de Publicação: 2022
• Outros Autores: Souza, Simone Silva Frutuoso de, Chavarette, Fábio Roberto
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Revista Veras
• Texto Completo: https://ojs.brazilianjournals.com.br/ojs/index.php/BRJD/article/view/46137
• topic: hybrid methodology; structural health monitoring; intelligent systems.

This paper presents a new hybrid methodology to diagnose failures in aeronautical and civil structures using as a tool the Perceptron multi-layer artificial neural networks and ARTMAP-Fuzzy and the wavelet transform. The main application of this hybrid methodology. The main application of this methodology is the auxiliary structures inspection process in order to identify and characterize the flaws, as well as perform the decisions aiming at avoiding accidents or disasters. In order to evaluate this methodology, we carried out the modeling and simulation of signals from a numerical model of an aluminum beam and a building. The results demonstrate the robustness and accuracy methodology.