Chinese Journal of Ship Research, Volume. 17, Issue 6, 118(2022)

Stacking-based method for predicting remaining useful life of engine room equipment

Chaoyou GUO1, Zhe XU2, and Qian YAO3
Author Affiliations
  • 1College of Power Engineering, Naval University of Engineering, Wuhan 430033, China
  • 2The 92942 Unit of PLA, Beijing 100161, China
  • 3The 92578 Unit of PLA, Beijing 100161, China
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    Figures & Tables(10)
    [in Chinese]
    [in Chinese]
    [in Chinese]
    [in Chinese]
    [in Chinese]
    • Table 1. Multicollinearity evaluation index statistics

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      Table 1. Multicollinearity evaluation index statistics

      特征参数来源容忍度VIF
      XGBoost0.029734
      ANN0.016760
    • Table 2. The life cycle data of each bearing under condition 1

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      Table 2. The life cycle data of each bearing under condition 1

      轴承编号全寿命周期/s
      训练集1_128030
      1_28710
      测试集1_323750
      1_414280
      1_524630
      1_624480
      1_722590
    • Table 3. The plan of specific experiment

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      Table 3. The plan of specific experiment

      方案名称算法类型
      方案1XGBoost
      方案2ANN
      方案3岭回归
      方案4XGBoost 与ANN简单平均融合
      方案5基于Stacking的R-A-X融合算法
    • Table 4. The MAE evaluation results

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      Table 4. The MAE evaluation results

      测试集实验方案轴承1_3轴承1_4轴承1_5轴承1_6轴承1_7
      XGBoost0.140.120.260.150.20
      ANN0.190.210.350.210.26
      岭回归0.210.200.160.290.23
      XGBoost与ANN简单平均0.130.100.300.140.23
      基于Stacking的R-A-X融合算法0.120.080.150.120.18
    • Table 5. The R2 evaluation results

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      Table 5. The R2 evaluation results

      测试集实验方案轴承1_3轴承1_4轴承1_5轴承1_6轴承1_7
      XGBoost0.670.660.150.620.28
      ANN0.300.210.450.320.12
      岭回归0.140.310.550.390.15
      XGBoost 与ANN加权融合0.750.810.350.650.21
      基于Stacking的R-A-X融合算法0.800.850.610.720.32
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    Chaoyou GUO, Zhe XU, Qian YAO. Stacking-based method for predicting remaining useful life of engine room equipment[J]. Chinese Journal of Ship Research, 2022, 17(6): 118

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    Paper Information

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    Received: Nov. 30, 2021

    Accepted: --

    Published Online: Mar. 26, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.02672

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