Wavelet artificial immune system algorithm applied to the faults aeronautical structural monitoring / Algoritmo do sistema imune artificial Wavelet aplicado a falhas monitoramento estrutural aeronáutico

• Autor(a) principal: Souza, Simone Silva Frutuoso de
• Data de Publicação: 2022
• Outros Autores: Chavarette, Fábio Roberto, Lima, Fernando Parra dos Anjos
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Revista Veras
• Texto Completo: https://ojs.brazilianjournals.com.br/ojs/index.php/BRJD/article/view/46583
• topic: Wavelet artificial immune systems (WAIS); monitoring and fault identification; aeronautical structures; artificial intelligence.

This paper presents a Wavelet-artificial immune system algorithm to diagnose failures. Basically, after obtaining the vibration signals, is used the wavelet module for transformed the signals into the wavelet domain. Afterward, a negative selection artificial immune system realizes the diagnosis, identifying and classifying the failures. The main application of this methodology is the auxiliary structures inspection process in order to identify and characterize the flaws. To evaluate this methodology, we carried out the modeling and simulation of signals from a numerical model of an aluminum beam, representing an aircraft structure. The results demonstrate the robustness and accuracy methodology.