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Author:

Zhang, Kun (Zhang, Kun.) | Xu, Yonggang (Xu, Yonggang.) | Chen, Peng (Chen, Peng.)

Indexed by:

EI Scopus SCIE

Abstract:

The methods of mode decomposition based on the amplitude of spectrum are widely used in the fault diagnosis of bearings and gears in rotating machinery such as centrifuges, slurry pumps, fans, etc. Analytical mode decomposition with excellent filtering could set the bisecting frequency to distinguish useful modes. However, the vibration signal of equipment in actual operation is complex. This paper is devoted to the research of a novel spectral segmentation mode decomposition method. The proposed enhanced analytical mode decomposition takes advantage of the trend of spectrum fluctuations. In order to obtain the most critical bisecting frequency, the trend spectrum estimation method was proposed based on order statistics filter. The filtering effect of enhanced analytical mode decomposition was verified by the simulated signal. The experimental results show that the proposed method is efficient and the bearing inner and outer ring faults in the rotating machine can be successfully extracted.

Keyword:

Fault diagnosis Rotating machinery Spectral segmentation Order statistics filter Analytical mode decomposition

Author Community:

  • [ 1 ] [Zhang, Kun]Mie Univ, Grad Sch Environm Sci & Technol, Tsu, Mie 5140001, Japan
  • [ 2 ] [Chen, Peng]Mie Univ, Grad Sch Environm Sci & Technol, Tsu, Mie 5140001, Japan
  • [ 3 ] [Zhang, Kun]Beijing Univ Technol, Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Xu, Yonggang]Beijing Univ Technol, Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Xu, Yonggang]Beijing Univ Technol, Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China

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Related Keywords:

Source :

MEASUREMENT

ISSN: 0263-2241

Year: 2021

Volume: 173

5 . 6 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:87

JCR Journal Grade:1

Cited Count:

WoS CC Cited Count: 7

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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