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An Intelligent System for Grinding Wheel Condition Monitoring Based on Machining Sound and Deep Learning.
Cheng-Hsiung Lee
Jung-Sing Jwo
Han-Yi Hsieh
Ching-Sheng Lin
Published in:
IEEE Access (2020)
Keyphrases
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deep learning
condition monitoring
acoustic emission
tool wear
cutting tool
unsupervised learning
unsupervised feature learning
fault detection
machine learning
fault diagnosis
weakly supervised
mental models
power transformers
sound source
deep architectures
semi supervised
probabilistic model
object recognition