Abstract
This work concerns the concept and verification of the experimental possibility of using a wavelet transform to assess a steel structure’s condition. In the research, a developed measuring stand was used. Mechanical waves in the metal plate were excited by the impact. These waves were recorded with an electroacoustic transducer and registered in the form of electrical signals. Both the signals generated by the actuator of the plate and the signals reaching the transducer were recorded. The registered data were decomposed into wavelet coefficients. Laboratory tests have shown the possibility of applying this type of test to identify damage in steel structural elements—the relationship between the details of the wavelet transform and the type of damage was demonstrated.
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Reference27 articles.
1. Modeling of defect detection by analyzing thermal images;Andelković;Facta Univ. Ser. Mech. Eng.,2014
2. Crack identification in beams using wavelet analysis
3. Crack identification in plates using 1-D discrete wavelet transform
4. Application of Discrete Wavelet Transformation to defect detection in truss structures with rigidly connected bars;Knitter-Piątkowska;Eng. Trans.,2016
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