Journal
SIGNAL PROCESSING
Volume 186, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.sigpro.2021.108123
Keywords
Time-frequency analysis; Synchroextracting transform; Instantaneous frequency; Nonstationary signal; Rotating machinery
Categories
Funding
- National Science and Technology support program of China [2015BAF07B04]
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A novel TFA method called second-order synchroextracting wavelet transform (SSEWT) is proposed for characterizing nonstationary signals with widely changing instantaneous frequency features. This method extends the existing synchroextracting transform to the context of wavelet transform and introduces the second-order instantaneous frequency estimate to enhance its processing capability for nonstationary signals. The SSEWT provides concentrated time-frequency representation with multiple resolutions and maintains good invertibility.
Characterizing nonstationary signals with widely changing instantaneous frequency features is a challenging issue for time-frequency analysis (TFA) method. A novel TFA method termed second-order synchroextracting wavelet transform (SSEWT) is proposed for this purpose. The method extends the existing synchroextracting transform to the context of wavelet transform, and introduces the second-order instantaneous frequency estimate to improve its capability of processing nonstationary signals. The proposed method provides concentrated time-frequency representation with multiple resolutions, and retains good invertibility. The theories concerned and discrete implementation of the SSEWT are presented. Numerical simulations and experimental data collected from rotating machinery are employed to verify the competitive advantages of the SSEWT in revealing the local time-frequency features of nonstationary signals. (C) 2021 Elsevier B.V. All rights reserved.
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