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- W4280535646 abstract "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." @default.
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- W4280535646 date "2022-04-14" @default.
- W4280535646 modified "2023-09-30" @default.
- W4280535646 title "Wavelet artificial immune system algorithm applied to the faults aeronautical structural monitoring / Algoritmo do sistema imune artificial Wavelet aplicado a falhas monitoramento estrutural aeronáutico" @default.
- W4280535646 doi "https://doi.org/10.34117/bjdv8n4-295" @default.
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