An intelligent sensor system approach for reliable tool flank wear recognition
International Journal of Advanced Manufacturing Technology
Saved in:
Main Authors: | Niu, Y.Y.M., Wong, Y.S., Hong, G.S. |
---|---|
Other Authors: | MECHANICAL & PRODUCTION ENGINEERING |
Format: | Article |
Published: |
2014
|
Subjects: | |
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/57896 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
A comparative study of feature selection for hidden Markov model-based micro-milling tool wear monitoring
by: Zhu, K.P., et al.
Published: (2014) -
Flank wear measurement by successive image analysis
by: Wang, W., et al.
Published: (2014) -
Multi-category micro-milling tool wear monitoring with continuous hidden Markov models
by: Zhu, K., et al.
Published: (2014) -
Multiclassification of tool wear with support vector machine by manufacturing loss consideration
by: Sun, J., et al.
Published: (2014) -
Effective application of neural networks in tool condition identification
by: Sun, J., et al.
Published: (2014)