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Author:

Chen, Dongju (Chen, Dongju.) (Scholars:陈东菊) | Zhou, Shuai (Zhou, Shuai.) | Dong, Lihua (Dong, Lihua.) | Fan, Jinwei (Fan, Jinwei.) (Scholars:范晋伟)

Indexed by:

Scopus SCIE

Abstract:

This paper presents a new identification method to identify the main errors of the machine tool in time-frequency domain. The low-and high-frequency signals of the workpiece surface are decomposed based on the Daubechies wavelet transform. With power spectral density analysis, the main features of the high-frequency signal corresponding to the imbalance of the spindle system are extracted from the surface topography of the workpiece in the frequency domain. With the cross-correlation analysis method, the relationship between the guideway error of the machine tool and the low-frequency signal of the surface topography is calculated in the time domain.

Keyword:

Author Community:

  • [ 1 ] [Chen, Dongju]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Zhou, Shuai]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Dong, Lihua]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Fan, Jinwei]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China

Reprint Author's Address:

  • 陈东菊

    [Chen, Dongju]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China

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Source :

SHOCK AND VIBRATION

ISSN: 1070-9622

Year: 2016

Volume: 2016

1 . 6 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:166

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count: 6

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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