Old Web
English
Sign In
Acemap
>
Paper
>
The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process
The capacity of statistical features extracted from multiple signals to predict tool wear in the drilling process
2019
Aitor Duo Zubiaurre
Rosa Basagoiti Astigarraga
Pedro José Arrazola Arriola
Javier Aperribay Zubia
Mikel Cuesta Zabaljauregui
Keywords:
Tool wear
Drilling
Computer science
Automotive engineering
tool condition monitoring
Correction
Source
Cite
Save
Machine Reading By IdeaReader
0
References
0
Citations
NaN
KQI
[]