Hilbert–Huang Transform-Based Emitted Sound Signal Analysis for Tool Flank Wear Monitoring
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/content/pdf/10.1007/s13369-013-0580-7.pdf
Reference13 articles.
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2. Salgado D.R., Alonso F.J.: An approach based on current and sound signals for in-process tool wear monitoring. Int. J.Mach. Tool. Manu. 47(14), 2140–2152 (2007)
3. Lu,M.-C.; Elijah K.-A.: Analysis of Sound Signal Generation Due to Flank Wear in Turning. J. Manu. Sci. Eng. 124(4), 799 (10 pages) doi: 10.1115/1.1511177 (2002)
4. Alonso F.J., Salgado D.R.: Application of singular spectrum analysis to tool wear detection using sound signals, Proceedings IME. Part B J. Eng. Manu. 219(9), 703–710 (2005)
5. Peng, Z.K.; Peter W.T.; Chu, F.L.: An improved Hilbert-Hung transform and its application in vibration signal analysis. J. Sound. Vibration. 286(1–2), 187–205
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