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Laser & Optoelectronics Progress, Volume. 59, Issue 12, 1215011(2022)

Improved XGBoost Stray Current Prediction and Interpretable Model

Zhaoliang Meng1,2,3, Zetao Zhang1、*, Yuan Yang2, Guofeng Li3, Chongbo Tao3, and Yijiang Niu3
Author Affiliations
  • 1College of Electronic Information, Xi’an Polytechnic University, Xi’an 710600, Shaanxi , China
  • 2International Engineering College, Xi’an University of Technology, Xi’an 710048, Shaanxi , China
  • 3Power Electronics Division of CRRC Yongji Motor Co., Ltd., Xi’an 710000, Shaanxi , China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (9)
    Equations (17)
    References (15)
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    Figures & Tables(9)
    Error comparision under different characteristic number combinations

    Fig. 1. Error comparision under different characteristic number combinations

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    Feature combination error contrast histograms. (a) MAE; (b) MSE; (c) RMSE; (d) R2

    Fig. 2. Feature combination error contrast histograms. (a) MAE; (b) MSE; (c) RMSE; (d) R2

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    Optimal characteristic iterative procession

    Fig. 3. Optimal characteristic iterative procession

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    Comparison of different models for stray current prediction

    Fig. 4. Comparison of different models for stray current prediction

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    SHAP feature analysis sketch chart

    Fig. 5. SHAP feature analysis sketch chart

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    Dependence diagram of rail voltage SHAP analysis

    Fig. 6. Dependence diagram of rail voltage SHAP analysis

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    Dependence diagram of transition resistance SHAP analysis

    Fig. 7. Dependence diagram of transition resistance SHAP analysis

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    • Table 1. Error comparison between original model and optimized model

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      Table 1. Error comparison between original model and optimized model

      ModelMSERMSEMAER2
      XGBoost8.4712.9103.4910.787
      OFS-XGBoost1.6841.2970.3340.923

    • Table 2. Prediction performance index of defferent models based on optimal feature combination method

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      Table 2. Prediction performance index of defferent models based on optimal feature combination method

      ModelMSERMSEMAER2Prediction time /s
      SVR51.9087.2016.8880.6864.3
      BP7.3912.7732.3550.7752.4
      RF2.9451.7152.3830.8461.8
      OFS-XGBoost1.6841.2970.3340.9231.1
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    Zhaoliang Meng, Zetao Zhang, Yuan Yang, Guofeng Li, Chongbo Tao, Yijiang Niu. Improved XGBoost Stray Current Prediction and Interpretable Model[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1215011

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    Paper Information

    Category: Machine Vision

    Received: Jul. 16, 2021

    Accepted: Aug. 17, 2021

    Published Online: May. 23, 2022

    The Author Email: Zetao Zhang (zz667892021@163.com)

    DOI:10.3788/LOP202259.1215011

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology