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作者:

Xu, Yonggang (Xu, Yonggang.) | Deng, Yunjie (Deng, Yunjie.) | Ma, Chaoyong (Ma, Chaoyong.) | Zhang, Kun (Zhang, Kun.)

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摘要:

In the actual industrial production, the collected vibration signal often contains accidental impact or harmonic interference due to the influence of mechanical vibration or human interference. However, the current popular Fast Kurtogram (FK) method cannot accurately extract the frequency band with more fault information when processing the signal with such two-type interference. Therefore, this paper proposes a robust method called Enfigram to improve the drawback. In Enfigram method, a new statistical index is designed to select the optimal modulation frequency-band. Envelope Fourier index (Enfi) uses two Fourier transforms to transfer the interference of accidental pulse in the signal envelope to the origin, so that accidental pulse can be eliminated by low-pass filtering. Moreover, the frequency-band segmentation method based on spectrum trend can adaptively divide the fault information into a frequency band in Enfigram, which ensures the integrity of fault information. Compared with FK, Infogram and other methods, the result shows that Enfigram has better performance. (c) 2021 Elsevier Ltd. All rights reserved.

关键词:

Robust Accidental pulse Optimal frequency-band extraction Enfigram Fault diagnosis

作者机构:

  • [ 1 ] [Xu, Yonggang]Beijing Univ Technol, Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Deng, Yunjie]Beijing Univ Technol, Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Ma, Chaoyong]Beijing Univ Technol, Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Zhang, Kun]Beijing Univ Technol, Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 5 ] [Xu, Yonggang]Beijing Univ Technol, Beijing Engn Res Ctr Precis Measurement Technol &, Beijing 100124, Peoples R China
  • [ 6 ] [Zhang, Kun]Mie Univ, Grad Sch Environm Sci & Technol, Tsu, Mie 5140001, Japan

通讯作者信息:

  • [Zhang, Kun]Beijing Univ Technol, Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China;;[Zhang, Kun]Mie Univ, Grad Sch Environm Sci & Technol, Tsu, Mie 5140001, Japan

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来源 :

MECHANICAL SYSTEMS AND SIGNAL PROCESSING

ISSN: 0888-3270

年份: 2021

卷: 158

8 . 4 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: 30

SCOPUS被引频次: 32

ESI高被引论文在榜: 0 展开所有

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中文被引频次:

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