• Chinese Journal of Ship Research
  • Vol. 17, Issue 6, 118 (2022)
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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    DOI: 10.19693/j.issn.1673-3185.02672 Cite this Article
    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 Copy Citation Text show less
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    特征参数来源容忍度VIF
    XGBoost0.029734
    ANN0.016760
    Table 1. Multicollinearity evaluation index statistics
    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 2. The life cycle data of each bearing under condition 1
    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 3. The plan of specific experiment
    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 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
    XGBoost0.670.660.150.620.28
    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
    Table 5. The R2 evaluation results