Paper
10 October 2020 Classification of interference-fading suppressed Φ-OTDR signal using optimal peak-seeking and machine learning
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Abstract
A simple and effective interference fading suppression method for Φ-OTDR using optimal peak-seeking is proposed. This method can reconstruct the vibration signal with high fidelity under the premise of using only ordinary single-mode sensing fiber without changing the structure of the traditional Φ-OTDR system. Based on the data after interference suppression, we applied different machine learning models to recognize the invasive events category. The promising results show potential applications of Φ-OTDR equipment and future implementation with machine learning algorithms.
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Yixin Zhang, Tong Zhou, Zhewen Ding, Xuping Zhang, Feng Wang, and Ningmu Zou "Classification of interference-fading suppressed Φ-OTDR signal using optimal peak-seeking and machine learning", Proc. SPIE 11547, Optoelectronic Devices and Integration IX, 1154708 (10 October 2020); https://doi.org/10.1117/12.2576029
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KEYWORDS
Machine learning

Data modeling

Backscatter

Detection and tracking algorithms

Heterodyning

Sensing systems

Structured optical fibers

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