Training dataset for acoustic emission analysis
Published: 1 February 2023| Version 1 | DOI: 10.17632/svz439j8hb.1
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).
Composite Material, Machine Learning