Volume 7 Number 1 (Jan. 2012)
Home > Archive > 2012 > Volume 7 Number 1 (Jan. 2012) >
JSW 2012 Vol.7(1): 68-74 ISSN: 1796-217X
doi: 10.4304/jsw.7.1.68-74

Comparison of Methods for Different Timefrequency Analysis of Vibration Signal

Ling Xiang and Aijun Hu

Mechanical Engineering Department, North China Electric Power University, Baoding 071003, Hebei Province, China

Abstract—Vibration problems in rotors can be extremely frustrating and may lead to greatly reduced reliability. By utilizing the proper data collection and analysis techniques, the faults because of vibration can be discovered and predicted. The signal analysis is important in extracting fault characteristics in fault diagnosis of machinery. The traditional signal analysis can not settle for non-stationary vibration signal whose statistic properties are variant. To deal with non-stationary signal, time-frequency analysis techniques are widely used. The experiment data of oil whip vibration fault signal were analyzed by different methods, such as short time Fourier transform (STFT), Wigner-Ville distribution (WVD), Wavelet transform (WT) and Hilbert- Huang Transform (HHT). The experiment data of rubbing vibration faults signal were also analyzed by the HHT. Compared with these methods, it is demonstrated that the time-frequency resolutions of STFT and WVD were inconsistent, which were easy to cross or make signal lower. WT had distinct time-frequency distribution, but it brought redundant component. HHT time-frequency analysis can detect components of low energy, and displayed true and distinct time-frequency distribution. Therefore, HHT is a very effective tool to diagnose the faults of rotating machinery.

Index Terms—signal analysis, time-frequency analysis, vibration, Hilbert-Huang transform (HHT), fault diagnosis.


Cite:Ling Xiang and Aijun Hu, "Comparison of Methods for Different Timefrequency Analysis of Vibration Signal," Journal of Software vol. 7, no.1, pp. 68-74, 2012.

General Information

ISSN: 1796-217X (Online)
Frequency:  Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
  • Mar 01, 2024 News!

    Vol 19, No 1 has been published with online version    [Click]

  • Jan 04, 2024 News!

    JSW will adopt Article-by-Article Work Flow

  • Apr 01, 2024 News!

    Vol 14, No 4- Vol 14, No 12 has been indexed by IET-(Inspec)     [Click]

  • Apr 01, 2024 News!

    Papers published in JSW Vol 18, No 1- Vol 18, No 6 have been indexed by DBLP   [Click]

  • Nov 02, 2023 News!

    Vol 18, No 4 has been published with online version   [Click]