scholarly journals Hidden Markov models for monitoring machining tool-wear

2002 ◽  
Author(s):  
L. Atlas ◽  
M. Ostendorf ◽  
G.D. Bernard
Keyword(s):  
Tool Wear ◽  
Hidden Markov Models ◽  
Markov Models ◽  
Hidden Markov

scholarly journals Tool-Wear Monitoring Based on Continuous Hidden Markov Models

2005 ◽  
pp. 880-890 ◽  
Author(s):  
Antonio G. Vallejo ◽  
Juan A. Nolazco-Flores ◽  
Rubén Morales-Menéndez ◽  
L. Enrique Sucar ◽  
Ciro A. Rodríguez
Keyword(s):  
Tool Wear ◽  
Hidden Markov Models ◽  
Markov Models ◽  
Hidden Markov ◽  
Tool Wear Monitoring ◽  
Wear Monitoring

Tool Wear Intelligence Measure in Cutting Process Based on HMM

2011 ◽  
Vol 52-54 ◽  
pp. 482-487
Author(s):  
Jing Kang ◽  
Li Na Guan
Keyword(s):  
Machine Learning ◽  
Pattern Recognition ◽  
Tool Wear ◽  
Cutting Force ◽  
Hidden Markov Models ◽  
Markov Models ◽  
Hidden Markov ◽  
Vibration Signal ◽  
Cutting Process ◽  
Tool Failure

A method of tool wear intelligence measure based on Discrete Hidden Markov Models (DHMM) is proposed to monitor tool wear and to predict tool failure. FFT features are first extracted from the vibration signal and cutting force in cutting process, and then FFT vectors are presorted and converted into integers by SOM. Finally, these codes are introduced to DHMM for machine learning and 3 models for different tool wear stage are built up. Pattern of HMM is recognised by calculating probability. The results of tool wear intelligence measure and pattern recognition of tool wear experiments show that the method is effective.

Estimating Personality Impression from Speech Record Using Hidden Markov Models

2015 ◽  
Vol 135 (12) ◽  
pp. 1517-1523 ◽  
Author(s):  
Yicheng Jin ◽  
Takuto Sakuma ◽  
Shohei Kato ◽  
Tsutomu Kunitachi
Keyword(s):  
Hidden Markov Models ◽  
Markov Models ◽  
Hidden Markov
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