Advanced materials research · 2014 · 16 citations · 5 references
EngineeringAerospace EngineeringAerospace StructuresAircraft StructuresStructural EngineeringCondition MonitoringFailure AnalysisFailure DetectionFault DetectionStructural Condition AssessmentStructural Health MonitoringAircraft Structural MonitoringDamage DetectionFault Detection Using Machine LearningFault IdentificationMachine Learning-based Fault DiagnosisNeural Network-based DiagnosisStructural Damage IdentificationStructural Defect Detection
This paper presents a methodology to perform the monitoring and identification of flaws in aircraft structures using an ARTMAP-Fuzzy-Wavelet artificial neural network. This technique is used in the detection and characterization of structural failure. The main application of this method is to assist in the inspection of aircraft structures in order to identify and characterize failures as well as decision-making, in order to avoid accidents or air crashes. In order to evaluate this method, the modeling and simulation of signals from a numerical model of an aluminum beam was performed. The results obtained by the method are satisfactory compared to literature.
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Fernando Parra dos Anjos Lima, Fábio Roberto Chavarette, Adriano dos Santos e Souza et al. · Advanced materials research · 2013 · 19 citations · Full text