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Acoustic Emission-Based Tool Condition Classification in a Precision High-Speed Machining of Titanium Alloy: A Machine Learning Approach.
P. Krishnakumar
K. Rameshkumar
K. I. Ramachandran
Published in:
Int. J. Comput. Intell. Appl. (2018)
Keyphrases
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high speed
tool wear
feed rate
acoustic emission
cutting tool
condition monitoring
feature selection
pattern recognition
image classification
neural network
supervised classification
feature extraction
decision trees
video sequences
multimedia
real time
high speed camera