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The Signal Processing of Wharf Structure Health Monitoring Based on Wavelet Analysis

In: Proceedings of 20th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • Xiao-bo Wang

    (PLA University of Science and Technology)

  • Jue-long Li

    (PLA University of Science and Technology
    Research Center of Naval Defense Engineering)

  • Jian-chun Xing

    (PLA University of Science and Technology)

  • Li-qiang Xie

    (PLA University of Science and Technology)

Abstract

The importance of harbor wharf determines that we must grasp its health state in real time. First of all, this paper analyzes various harbor wharf damage forms, and builds its structure health monitoring system, then it points out the importance of signal processing in structural health monitoring. Wavelet analysis, as a new tool to data processing, with its advantages now is widely used in many fields. In this paper, the application of wavelet analysis in the harbor wharf structure is introduced, including signal denoising, signal compression and damage identification. Finally, this paper puts forward the research direction of wavelet analysis in structural health monitoring.

Suggested Citation

  • Xiao-bo Wang & Jue-long Li & Jian-chun Xing & Li-qiang Xie, 2013. "The Signal Processing of Wharf Structure Health Monitoring Based on Wavelet Analysis," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, edition 127, pages 71-82, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-40072-8_7
    DOI: 10.1007/978-3-642-40072-8_7
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