Multi-signal comparison and analysis of tool wear based on EMD energy decomposition method
Author:
Affiliation:
1. Beijing Institute of Technology Xiangzhou,Department of Mechanical Engineering,Zhuhai,Guangdong,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10246450/10246476/10246691.pdf?arnumber=10246691
Reference14 articles.
1. Experimental and Numerical Analysis of Water Jet Peening on 6061 Aluminum Alloy[J];chen;Journal of Pressure Vessel Technology,2018
2. Roughening of metallic biomaterials by abrasiveless waterjet peening: Characterization and viability
3. Planetary gearbox fault diagnosis method based on empirical mode decomposition and deep convolutional neural network [J];niao-qing;Journal of Mechanical Engineering,2019
4. Wavelet analysis of sensor signals for tool condition monitoring: A review and some new results
5. Tool failure detection based on analysis of acoustic emission signals[J];jemielniak;Journal of Materials Processing Technology,1998
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