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作者:

Li, Rui (Li, Rui.) | Cui, Xiaoling (Cui, Xiaoling.) | Zhao, Yang (Zhao, Yang.) | Feng, Xu (Feng, Xu.) | Dong, Jikun (Dong, Jikun.)

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摘要:

Detection of micro-cracks before assembling has always been a challenge in gear defect detection. A mature detection method of micro-cracks is not available. Due to the complex detection environment and large production of gears, it's urgent to develop a rapid and accurate detection method of gear micro-cracks. It's the key to separate and extract weak vibration signals accurately under complex disturbances in gear defect detection. In this study, vibration characteristics of gear defects under resonance conditions were firstly explored and a detection method of gear micro-cracks was proposed based on tuned resonance. Based on the amplification effect of tuned resonance on the peak frequency spectrum of gear vibration, meshing frequency and sideband frequency characteristics of the gear defect signal spectrum were experimentally investigated. The amplitudes of gear meshing frequency and its harmonic meshing frequency in the signal frequency domain diagram were higher and the surrounding sideband frequency components were clearer.

关键词:

Gear defect detection Modal frequency Tuning resonance Empirical mode decomposition Feature extraction

作者机构:

  • [ 1 ] [Li, Rui]Beijing Univ Technol, Beijing Engn Res Ctr Precis Measurement Technol &, Beijing, Peoples R China
  • [ 2 ] [Cui, Xiaoling]Beijing Univ Technol, Beijing Engn Res Ctr Precis Measurement Technol &, Beijing, Peoples R China
  • [ 3 ] [Dong, Jikun]Beijing Univ Technol, Beijing Engn Res Ctr Precis Measurement Technol &, Beijing, Peoples R China
  • [ 4 ] [Zhao, Yang]Acad Space Technol, Beijing Inst Spacecraft Syst Engn, Beijing, Peoples R China
  • [ 5 ] [Feng, Xu]Acad Space Technol, Beijing Inst Spacecraft Syst Engn, Beijing, Peoples R China

通讯作者信息:

  • [Li, Rui]Beijing Univ Technol, Beijing Engn Res Ctr Precis Measurement Technol &, Beijing, Peoples R China

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来源 :

MEASUREMENT

ISSN: 0263-2241

年份: 2021

卷: 186

5 . 6 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:87

JCR分区:1

被引次数:

WoS核心集被引频次: 8

SCOPUS被引频次: 8

ESI高被引论文在榜: 0 展开所有

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