KFD-AEEScan: a Katz fractal dimension acoustic emission event scanner for single-sensor multi-fault diagnosis in milling machines
Structural Health Monitoring: An International Journal
Published online on March 24, 2026
Abstract
Structural Health Monitoring, Ahead of Print.
Reliable condition monitoring of milling machines (MMs) is essential for maintaining quality of the output product and avoiding downtime, but traditional acoustic emission (AE)-based approaches using features such as root mean square (RMS), kurtosis, or ...
Reliable condition monitoring of milling machines (MMs) is essential for maintaining quality of the output product and avoiding downtime, but traditional acoustic emission (AE)-based approaches using features such as root mean square (RMS), kurtosis, or ...