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Instantaneous frequency extraction in time-varying structures using a maximum gradient method
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Liu, Jingliang, Wei, Xiaojun, Qiu, Renhui, Zheng, Jinyang, Zhu, Yanjie and Laory, Irwanda (2018) Instantaneous frequency extraction in time-varying structures using a maximum gradient method. Smart Structures and Systems, 22 (3). pp. 359-368. doi:10.12989/sss.2018.22.3.359 ISSN 1738-1584.
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Liu_etal_2018_Smart_struct_and_Sys_ACCEPTED_Manuscript.pdf - Accepted Version Embargoed item. Restricted access to Repository staff only - Requires a PDF viewer. Download (1713Kb) |
Official URL: https://doi.org/10.12989/sss.2018.22.3.359
Abstract
A method is proposed for the identification of instantaneous frequencies (IFs) in time-varying structures. The proposed method combines a maximum gradient algorithm and a smoothing operation. The maximum gradient algorithm is designed to extract the wavelet ridges of response signals. The smoothing operation, based on a polynomial curve fitting algorithm and a threshold method, is employed to reduce the effects of random noises. To verify the effectiveness and accuracy of the proposed method, a numerical example of a signal with two frequency modulated components is investigated and an experimental test on a steel cable with time-varying tensions is also conducted. The results demonstrate that the proposed method can extract IFs from the noisy multi-component signals and practical response signals successfully. In addition, the proposed method can provide a better IF identification results than the standard synchrosqueezing wavelet transform.
Item Type: | Journal Article | ||||||||
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Subjects: | T Technology > TA Engineering (General). Civil engineering (General) | ||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||
Journal or Publication Title: | Smart Structures and Systems | ||||||||
Publisher: | Techno-Press | ||||||||
ISSN: | 1738-1584 | ||||||||
Official Date: | 2018 | ||||||||
Dates: |
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Volume: | 22 | ||||||||
Number: | 3 | ||||||||
Page Range: | pp. 359-368 | ||||||||
DOI: | 10.12989/sss.2018.22.3.359 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Date of first compliant deposit: | 3 December 2018 | ||||||||
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