Paper
20 November 2009 A measured-data processing method based on MATLAB wavelet for distributed optical fiber sensing system
A. H. Chen, H. Y. Zeng, G. L. Jiang, P. Y. Zhu
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Abstract
The development of the hidden hazard in earth and rockfill dams is a long-term process, but the symptom of its occurrence can be extracted from monitoring measured-data. However, severe disaster may happen since the cryptic proof in these measured-data was ignored. A method of data processing to identify the seepage degree is proposed. Distributed optical fiber sensing system is employed to monitor the change of the temperature caused by the seepage flow inside the dam. Due to tiny difference between two temperatures of the earth and stable seepage water, measureddata need to be processed further to identify unconspicuous seepage flow. MATLAB wavelet method is used to analyze these tiny changes hidden in measured-data, which is effective to tell the location and degree of the seepage.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. H. Chen, H. Y. Zeng, G. L. Jiang, and P. Y. Zhu "A measured-data processing method based on MATLAB wavelet for distributed optical fiber sensing system", Proc. SPIE 7511, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems, 751121 (20 November 2009); https://doi.org/10.1117/12.838195
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Optical fibers

MATLAB

Sensing systems

Wavelets

Temperature metrology

Signal processing

Optical sensing

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