Laser & Optoelectronics Progress, Volume. 59, Issue 23, 2306003(2022)

Fiber Intrusion Signal Classification Based on Gradient Boosting Decision Tree Algorithm

Hongquan Qu1, Zhengyi Wang1、*, Zhiyong Sheng1, Hongbin Qu2, and Ling Wang3
Author Affiliations
  • 1School of Information Science and Technology, North China University of Technology, Beijing 100144, China
  • 2International Business Department, China Petroleum Pipeline Bureau Engineering Co., Ltd., Langfang 065000, Hebei, China
  • 3Asia Pacific Branch of China Petroleum Pipeline Bureau Engineering Co., Ltd., Langfang 065000, Hebei, China
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    Figures & Tables(10)
    Original signal of tapping and the decomposition result. (a) Original signal; (b) decomposition result
    Original fiber intrusion signal and preprocessing results. (a) Original signal; (b) preprocessing result
    Flowchart of the AdaBoost algorithm
    Validation curves of GBDT algorithm under different parameters. (a) n_estimators; (b) learning_rate; (c) max_depth; (d) subsample
    AdaBoost algorithm grid search validation curve. (a) n_estimators; (b) learning_rate
    Grid search verification curve of the SVM algorithm. (a) C; (b) gamma
    Confusion matrices for different algorithms. (a) GBDT algorithm; (b) DT-AdaBoost algorithm; (c) SVM algorithm
    Recognition rate of fiber intrusion signals for different algorithms
    • Table 1. Permutation entropy value of some FIBF components

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      Table 1. Permutation entropy value of some FIBF components

      FIBFPermutation entropy
      FIBF 10.0000
      FIBF 20.2255
      FIBF 30.2838
      FIBF 40.3253
      FIBF 70.5812
      FIBF 80.7130
      FIBF 160.4579
      FIBF 170.2181
    • Table 2. Tuning range of GBDT parameters

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      Table 2. Tuning range of GBDT parameters

      ParameterValue range
      n_estimators1-50
      learning_rate0.1-0.3
      max_depth3-10
      subsample0.5-0.8
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    Hongquan Qu, Zhengyi Wang, Zhiyong Sheng, Hongbin Qu, Ling Wang. Fiber Intrusion Signal Classification Based on Gradient Boosting Decision Tree Algorithm[J]. Laser & Optoelectronics Progress, 2022, 59(23): 2306003

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Sep. 9, 2021

    Accepted: Nov. 19, 2021

    Published Online: Nov. 29, 2021

    The Author Email: Wang Zhengyi (415896430@qq.com)

    DOI:10.3788/LOP202259.2306003

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