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作者:

Liu, Tongtong (Liu, Tongtong.) | Cui, Lingli (Cui, Lingli.) (学者:崔玲丽) | Zhang, Chao (Zhang, Chao.)

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摘要:

The turn domain resampling (TDR) method is proposed in the paper on the basis of the existing angle domain resampling for solving the problem of non-fixed fault frequency under variable working conditions. TDR can select the appropriate sampling order according to the influence of frequency conversion, which avoided the error caused by the spline interpolation method. It can provide accurate parameters for the subsequent calculation of the equivalent frequency order. Variable multi-scale morphological filtering (VMSMF) method is proposed for the purpose of further reducing the interference of noise in resampling signal to feature extraction. VMSMF adaptively selects structural elements according to the parameter change of impact signal to make its scale more targeted. It only needs to calculate once using the optimal structural unit for a particular impact, and the filtering accuracy and operating efficiency have been greatly improved. The main steps of this article are as follows. First, the TDR is used to resample the original signal as to get the resampling signal which is still submerged by the strong noise. In the second step, VMSMF is used to filter the resampling signal to obtain the signal with less noise interference. Finally, the fault characteristics of the filtering signal was extracted and compared with the possible fault frequency calculated by the sampling parameters provided by resampling, so as to determine the fault type of the planetary gearbox. By analyzing the simulation signal and the experimental signal respectively, this method can find out the corresponding fault characteristics effectively.

关键词:

fault diagnosis planetary gearbox TDR variable speed VMSMF

作者机构:

  • [ 1 ] [Liu, Tongtong]Beijing Univ Technol, Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Cui, Lingli]Beijing Univ Technol, Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Liu, Tongtong]Inner Mogolia Univ Sci & Technol, Inner Mogolia Key Lab Intelligent Diag & Control, Baotou 014010, Peoples R China
  • [ 4 ] [Zhang, Chao]Inner Mogolia Univ Sci & Technol, Inner Mogolia Key Lab Intelligent Diag & Control, Baotou 014010, Peoples R China

通讯作者信息:

  • 崔玲丽

    [Cui, Lingli]Beijing Univ Technol, Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China

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来源 :

SYMMETRY-BASEL

年份: 2021

期: 1

卷: 13

2 . 7 0 0

JCR@2022

ESI学科: Multidisciplinary;

ESI高被引阀值:17

被引次数:

WoS核心集被引频次: 4

SCOPUS被引频次: 4

ESI高被引论文在榜: 0 展开所有

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