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Transient Impact Signal’s Detection Based on Wavelet Transformation

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Book cover Advances in Intelligent Systems

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 138))

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Abstract

The use of wavelet transformation in detecting transient impact signal is mainly discussed in this paper. It has been validated through experiment of axletree’s rolling body broken. For standard cycle broken signal, we can’t find out its obviously frequency on frequency spectrum, but wavelet transformation can large particular signal which contained malfunction. The result will be known quickly from it. So wavelet transformation fit to detect transient abnormality signal in natural signal.

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Author information

Authors and Affiliations

  1. Center of Modern Education Technology, Changchun Chinese Medicine University, Changchun, 130051, China

    Xu Cao

  2. Electronic Engineering College, Changchun University, Changchun, 130022, China

    Hua-xun Zhang

Authors
  1. Xu Cao
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  2. Hua-xun Zhang
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Corresponding author

Correspondence to Xu Cao .

Editor information

Editors and Affiliations

  1. Information Engineering Research Institu, Continental Dr 100, Newark, 19713, USA

    Gary Lee

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Cao, X., Zhang, Hx. (2012). Transient Impact Signal’s Detection Based on Wavelet Transformation. In: Lee, G. (eds) Advances in Intelligent Systems. Advances in Intelligent and Soft Computing, vol 138. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27869-3_40

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  • DOI: https://doi.org/10.1007/978-3-642-27869-3_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27868-6

  • Online ISBN: 978-3-642-27869-3

  • eBook Packages: EngineeringEngineering (R0)

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