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The Research of the Transient Feature Extraction by Resonance-Based Method Using Double-TQWT

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Intelligent Computing Theory (ICIC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8588))

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Abstract

Signal processing aims to extract useful features from signals. However, the useful features are usually so weak, and corrupted by strong background noise, so it is difficult to extract by traditional linear methods. In this paper, a resonance-based method using double tunable Q-factor wavelet transform (TQWT) is applied for transient feature extraction. With the double-TQWT, the non-stationary signal is represented as the mixture of high resonance components and low resonance components based on the different resonance. The transient feature has a low Q-factor and belongs to low resonance components. Results of applications in transient feature extraction for simulation signal and bearing fault signal show the new method outperforms the average filtering method and the wavelet threshold algorithm, which further confirms the validity and superiority of this method for transient feature extraction.

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Author information

Authors and Affiliations

  1. School of Urban Rail Transportation, Soochow University, Suzhou, 215137, China

    Weiwei Xiang, Gaigai Cai, Wei Fan, Weiguo Huang & Zhongkui Zhu

  2. Department of Electronic Information Engineering, Suzhou Vocational University, Suzhou, 215104, China

    Li Shang

Authors
  1. Weiwei Xiang
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  2. Gaigai Cai
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  3. Wei Fan
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  4. Weiguo Huang
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  5. Li Shang
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  6. Zhongkui Zhu
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Editor information

Editors and Affiliations

  1. School of Electronics and Information Engineering, Tongji University, 4800 Caoan Road, 201804, Shanghai, China

    De-Shuang Huang

  2. Electrical and Electronics Department, Politecnico of Bari, Via Orabona, 4,, 70125, Bari, Italy

    Vitoantonio Bevilacqua

  3. School of Electrical, Computer and Telecommunications Engineering, University of Wollongon, 2522, North Wollongon, NSW, Australia

    Prashan Premaratne

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© 2014 Springer International Publishing Switzerland

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Xiang, W., Cai, G., Fan, W., Huang, W., Shang, L., Zhu, Z. (2014). The Research of the Transient Feature Extraction by Resonance-Based Method Using Double-TQWT. In: Huang, DS., Bevilacqua, V., Premaratne, P. (eds) Intelligent Computing Theory. ICIC 2014. Lecture Notes in Computer Science, vol 8588. Springer, Cham. https://doi.org/10.1007/978-3-319-09333-8_74

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  • DOI: https://doi.org/10.1007/978-3-319-09333-8_74

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09332-1

  • Online ISBN: 978-3-319-09333-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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