D14 Application of the Hilbert-Huang Transform to the tool-wear monitoring in machining process(Monitoring of machining process)

スポンサーリンク

概要

• 論文の詳細を見る

• This article describes use of Hilbert-Huang Transformation (HHT) in order to detect the damage and cutter tool wear by use of acceleration signal. The successful implementation of this transformation is introduced in this article. The difference between new and severe flute tool damage is clearly obvious in the marginal Hilbert spectra and Hilbert spectra. The tool wear is also obvious from those spectra. The drift into lower frequencies region indicates the cutter tool damage or cutter tool wear. This technique provides the alternative approach to the traditional FFT analysis which was used to the cutter tool detection.

• 2009-12-01

著者

• KALVODA Tomas

  Department of Mechanical Engineering, National Central University

• HWANG Yean-Ren

  Department of Mechanical Engineering, National Central University

• VRABEC Martin

  Faculty of Mechanical Engineering, Czech Technical University in Prague

• Vrabec Martin

  Faculty Of Mechanical Engineering Czech Technical University In Prague

• Hwang Yean-ren

  Department Of Mechanical Engineering National Central University

• Kalvoda Tomas

  Department Of Mechanical Engineering National Central University

関連論文

• D14 Application of the Hilbert-Huang Transform to the tool-wear monitoring in machining process(Monitoring of machining process)

スポンサーリンク