Training dataset for acoustic emission analysis

Published: 1 February 2023| Version 1 | DOI: 10.17632/svz439j8hb.1
Contributors:
, Marcelo Demetrio de Magalhaes, Md Nurul Karim, Kamen Tushtev, Kurosch Rezwan

Description

Training dataset containing acoustic emission features of various damage mechanisms of composite materials. Collected acoustic emission features: maximum amplitude in dB (A), rise time in µs (R), total duration in µs (D), number of threshold counts (CNTS), total energy in eu (E) and average frequency in MHz (F).

Files

Institutions

  • Universitat Bremen

Categories

Composite Material, Machine Learning

Licence