The article presents an approach to developing a novel algorithm for effective Local Defect Resonance (LDR) detection to improve the quality and automate structural integrity assessment. The proposed technique is applied to samples with different sizes of damage. The research is conducted in parallel with virtual and experimental models. The sample was instrumented with a surface-bonded low-profile piezoceramic transducer to excite the structure. Scanning laser vibrometry was used to obtain response signals from the plate. The frequency characteristics were determined for individual points in the structure based on the response signal and the known excitation. The algorithm uses the amplitude difference between the local damage area and the entire structure as a background. On this basis, local defect resonance parameters are determined.

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Mateusz Krzemiński, Andrzej Klepka, and Łukasz Pieczonka, "Experimental investigation of local defect resonance for damage identification," Proc. SPIE 12488, Health Monitoring of Structural and Biological Systems XVII, 124881S (Presented at SPIE Smart Structures + Nondestructive Evaluation: March 16, 2023; Published: 25 April 2023); https://doi.org/10.1117/12.2657855.