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:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
  • Apr 26, 2021 News!

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

  • Jun 22, 2020 News!

    Papers published in JSW Vol 14, No 1- Vol 15 No 4 have been indexed by DBLP     [Click]

  • Sep 13, 2021 News!

    The papers published in Vol 16, No 6 have all received dois from Crossref    [Click]

  • Jan 28, 2021 News!

    [CFP] 2021 the annual meeting of JSW Editorial Board, ICCSM 2021, will be held in Rome, Italy, July 21-23, 2021   [Click]

  • Sep 13, 2021 News!

    Vol 16, No 6 has been published with online version     [Click]