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Temperature extraction in Brillouin optical time-domain analysis sensors using principal component analysis based

Abul Kalam Azad, Faisal Nadeem Khan, Waled Hussein Alarashi

    Optics Express
    |August 10, 2017
    PubMed
    Summary

    We developed a Principal Component Analysis (PCA) method for accurate temperature sensing in Brillouin optical time domain analysis (BOTDA) systems. This pattern recognition technique enhances accuracy and speed for fiber optic temperature distribution measurements.

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    Area of Science:

    • Fiber Optic Sensing
    • Optical Metrology
    • Data Analysis

    Background:

    • Brillouin optical time domain analysis (BOTDA) systems are crucial for distributed temperature sensing.
    • Extracting accurate temperature distributions from Brillouin gain spectra (BGSs) presents challenges, particularly with noise and processing speed.

    Purpose of the Study:

    • To introduce and validate a novel Principal Component Analysis (PCA) based pattern recognition technique for temperature extraction in BOTDA systems.
    • To enhance the accuracy, processing speed, and noise tolerance of temperature measurements in BOTDA sensors.

    Main Methods:

    • Utilized PCA for feature extraction from measured and reference Brillouin gain spectra (BGSs).
    • Developed a reference database of ideal BGSs with known temperature attributes.
    • Implemented a pattern recognition approach to match measured BGS feature vectors with the reference database.

    Main Results:

    • The PCA-based method demonstrated superior accuracy compared to traditional curve fitting.
    • The algorithm exhibited faster processing speeds and improved tolerance to noise in BGS measurements.
    • Experimental validation confirmed the effectiveness of PCA for temperature distribution extraction.

    Conclusions:

    • PCA-based pattern recognition offers a robust and efficient method for temperature sensing in BOTDA.
    • This technique presents an attractive alternative for real-time temperature monitoring along optical fibers.
    • The enhanced performance makes it suitable for demanding fiber optic sensing applications.