Journal of Shanghai Jiao Tong University

Journal of Shanghai Jiaotong University >

2023 , Vol. 57 >Issue 12: 1648 - 1656

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2022.255

Naval Architecture, Ocean and Civil Engineering

Time-Frequency Analysis of Noisy Vibration Signal Based on Improved Hilbert-Huang Transform

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  • 1. College of Environment and Engineering, Hubei Land Resources Vocational College, Wuhan 430090, China
    2. Wuhan Huazhong University of Science and Technology Architectural Planning and Design Institute Co., Ltd., Wuhan 430070, China
    3. Engineering Research Center of Rock-Soil Drilling & Excavation and Protection of the Ministry of Education, China University of Geosciences, Wuhan 430074, China
    4. Faculty of Engineering, China University of Geosciences, Wuhan 430074, China

Received date: 2022-07-05

  Revised date: 2022-11-01

  Accepted date: 2022-11-10

  Online published: 2023-03-21

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Abstract

Aimed at the phenomenon of modal confusion and lack of practical significance of instantaneous frequency caused by Hilbert-Huang transform (HHT) noisy vibration signal time-frequency analysis, complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) is obtained by improving empirical mode decomposition (EMD), and in combination with multiscale permutation entropy (MPE) to suppress EMD modal confusion. At the same time, improved normalized Hilbert transform(INHT) is obtained by improving Hilbert transform, and finally the CEEMDAN·MPE-INHT time-frequency analysis algorithm is formed. In order to verify the accuracy of time-frequency analysis of CEEMDAN·MPE-INHT noisy vibration signals, a comparative study of time-frequency analysis of EMD-HT, EEMD-NHT, CEEMDAN-INHT and CEEMDAN·MPE-INHT noisy simulation vibration signals is conducted. The results show that CEEMDAN can control low frequency noise; MPE can suppress high frequency noise; INHT can make Hilbert transform not constrained by Bedrosian theorem. Finally, CEEMDAN·MPE-INHT algorithm is applied to the time-frequency analysis of noisy vibration signals in practical engineering. The time spectrum of intrinsic mode function (IMF) decomposed by CEEMDAN·MPE after INHT processing has a high resolution in time domain and frequency domain, which can improve the extraction accuracy of time-frequency characteristic parameters and help control the harm of vibration signals.

Key words： empirical mode decomposition; Hilbert transform; modal confusion; intrinsic mode function

Cite this article

SUN Miao, YANG Junkai, WU Li . Time-Frequency Analysis of Noisy Vibration Signal Based on Improved Hilbert-Huang Transform[J]. Journal of Shanghai Jiaotong University, 2023 , 57(12) : 1648 -1656 . DOI: 10.16183/j.cnki.jsjtu.2022.255

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