Journal
CIRP ANNALS-MANUFACTURING TECHNOLOGY
Volume 67, Issue 1, Pages 483-486Publisher
ELSEVIER
DOI: 10.1016/j.cirp.2018.04.035
Keywords
Machine learning; Condition monitoring; Fractal analysis
Ask authors/readers for more resources
A machine learning approach based on fractal analysis is developed for optimal tool life exploitation in intensive drilling operations for aeronautical assembly. Fractal analysis of sensor signals detected during the drilling process allows for the extraction of key features to build cognitive paradigms in view of condition monitoring for tool life diagnosis. The effectiveness of the proposed data analytics methodology is validated through an experimental campaign of CFRP composite drilling, using a setup that reproduces as faithfully as possible the real industrial operations, in order to acquire a suitable dataset of sensor signals. (C) 2018 Published by Elsevier Ltd on behalf of CIRP.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available