Novelty detection based on elastic wave signals measured by different techniques

  • Piotr Nazarko
  • Leonard Ziemiański

Abstract

The paper discusses the results of laboratory experiments in which three independent measurement techniques were compared: a digital oscilloscope, phased array acquisition system, a laser vibrometer 3D. These techniques take advantage of elastic wave signals actuated and sensed by a surface-mounted piezoelectric transducers as well as non-contact measurements. In these experiments two samples of aluminum strips were investigated while the damage was modeled by drilling a hole. The structure responses recorded were then subjected to a procedure of signal processing, and features' extraction was done by Principal Components Analysis. A pattern database defined was used to train artificial neural networks for the purpose of damage detection.

Keywords

Artificial neural networks, damage detection, structural health monitoring, elastic waves, non-destructive testing,

References

Published
Jan 25, 2017
How to Cite
NAZARKO, Piotr; ZIEMIAŃSKI, Leonard. Novelty detection based on elastic wave signals measured by different techniques. Computer Assisted Methods in Engineering and Science, [S.l.], v. 19, n. 4, p. 317-330, jan. 2017. ISSN 2299-3649. Available at: <https://cames.ippt.pan.pl/index.php/cames/article/view/82>. Date accessed: 26 jan. 2022.
Section
Articles