A physically segmented hidden markov model approach for continuous tool condition monitoring: Diagnostics and prognostics

A physically segmented hidden markov model approach for continuous tool condition monitoring: Diagnostics and prognostics

10.1109/TII.2012.2205583

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Bibliographic Details
Main Authors: Geramifard, O., Xu, J.-X., Zhou, J.-H., Li, X.
Other Authors: ELECTRICAL & COMPUTER ENGINEERING
Format: Article
Published: 2014
Subjects:
Diagnostics
feature selection
hidden Markov model (HMM)
prognostics
tool condition monitoring (TCM)
Online Access:http://scholarbank.nus.edu.sg/handle/10635/54707
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Institution: National University of Singapore

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http://scholarbank.nus.edu.sg/handle/10635/54707

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