Extract and analyze Acoustic Emission measurement data

Shared New Acoustic Leakage Data Set

Deep transfer learning of additive manufacturing mechanisms across materials in metal-based laser powder bed fusion process

Library to easily interface with Vallen Systeme WaveLine™ devices

In Situ Quality Monitoring in Direct Energy Deposition Process using Co-axial Process Zone Imaging and Deep Contrastive Learning

Open standard of feature extraction algorithms

Sensor selection for process monitoring based on deciphering acoustic emissions from different dynamics of the Laser Powder Bed Fusion process using Empirical Mode Decompositions and Interpretable Machine Learning

Monitoring Of Laser Powder Bed Fusion Process By Bridging Dissimilar Process Maps Using Deep Learning-based Domain Adaptation on Acoustic Emissions

Deep learning-based monitoring of laser powder bed fusion process on variable time-scales using heterogeneous sensing and operando X-ray radiography guidance

Self-Supervised Bayesian Representation Learning of Acoustic Emissions from Laser Powder Bed Fusion Process for In-situ Monitoring

"The sound of typing: using Machine Learning to classify Keyboard Acoustic Emanations" 2024 bachelor thesis source code.

Methods for the automated detection of acoustic multiplets and their hierarchical classification according to the similarity of their emission mechanisms

Repositry supporting two publications on LPBF process monitoring using acoustic emissions

Semi-supervised monitoring of laser powder bed fusion process based on acoustic emissions

read acoustic emission txt data files and generate initial summary and plot charts and graphs using matplotlib