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8 April 2008 Impact detection using ultrasonic waves based on case based reasoning
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Abstract
This study focuses on a structural health monitoring (SHM) using case-based reasoning (CBR). Structural condition is diagnosed using propagation patterns of ultra-sonic waves. Firstly, emitted pseudo-AE waves are measured in pencil lead fracture experiments. Then, the AE signals are classified into 90 types according to location, magnitude and structural condition. Secondly, pattern identification is conducted using feature parameters extracted from the signals for damage pattern recognition. Finally, feasibility of the method to real structures using CBR is studied. Results showed that the damage patterns could be determined with 82% accuracy. If only the damage location is needed, of the accuracy was higher with 95%. The proposed method using ultra-sonic waves and CBR is thus feasible for practical applications.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Takehisa Otsuka and Akira Mita "Impact detection using ultrasonic waves based on case based reasoning", Proc. SPIE 6932, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2008, 69321G (8 April 2008); https://doi.org/10.1117/12.775728
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