Multimodal hidden markov model-based approach for tool wear monitoring
10.1109/TIE.2013.2274422
Saved in:
Main Authors: | Geramifard, O., Xu, J.-X., Zhou, J.-H., Li, X. |
---|---|
Other Authors: | ELECTRICAL & COMPUTER ENGINEERING |
Format: | Article |
Published: |
2014
|
Subjects: | |
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/82731 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
A physically segmented hidden markov model approach for continuous tool condition monitoring: Diagnostics and prognostics
by: Geramifard, O., et al.
Published: (2014) -
Multi-category micro-milling tool wear monitoring with continuous hidden Markov models
by: Zhu, K., et al.
Published: (2014) -
Hidden Markov Model-based Methods In Condition Monitoring of Machinery Systems
by: OMID GERAMIFARD
Published: (2013) -
Continuous health assessment using a single Hidden Markov model
by: Geramifard, O., et al.
Published: (2014) -
HMM with explicit state duration for prognostics in face milling
by: Yue, W., et al.
Published: (2014)