Chinese Optics Letters, Volume. 19, Issue 3, 030601(2021)
Classification of interference-fading tolerant Φ-OTDR signal using optimal peak-seeking and machine learning [Invited]
Fig. 2. (a) Probability of signal falling into the dead zone under different window size (100 ns). (b) Probability of signal falling into the dead zone under different pulse width.
Fig. 3. (a) Ada-5032E. (b) Schematic diagram of the experiment. (NLL, narrow-linewidth laser; AOM, acoustic-optical modulator; FUT, fiber under test; EDFA, erbium-doped fiber amplifier; Cir, circulator; BPD, balanced photodetector; DAQ, data acquisition card; PZT, piezo transducer.)
Fig. 4. STFT spectrum of phase results in 15 s. (a) Traditional method. (b) Proposed method.
Fig. 6. STFT spectrum of 10 ramming ground tests. (a) Traditional method. (b) Proposed method.
Fig. 7. (a) Excavator digging event. (b) Time domain wave pattern of an invasive event. (c) Frequency-domain image after STFT. (d) Binary image after threshold filtering.
Fig. 8. (a) Parameter optimization results of SVM model. (b) Schematic structure of feedforward neural network. (c) Mean squared error.
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Yixin Zhang, Tong Zhou, Zhewen Ding, Yanqing Lu, Xuping Zhang, Feng Wang, Ningmu Zou, "Classification of interference-fading tolerant Φ-OTDR signal using optimal peak-seeking and machine learning [Invited]," Chin. Opt. Lett. 19, 030601 (2021)
Category: Fiber Optics and Optical Communications
Received: Oct. 23, 2020
Accepted: Jan. 19, 2021
Published Online: Mar. 11, 2021
The Author Email: Xuping Zhang (xpzhang@nju.edu.cn), Ningmu Zou (nz86@cornell.edu)