Chinese Journal of Ship Research, Volume. 18, Issue 5, 269(2023)
Study on fault diagnosis of marine main engine's online imbalanced data
Figures & Tables(7)
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Table 1. Contribution rate of each principal component
View tableView in ArticleTable 1. Contribution rate of each principal component
主成分 方差贡献率/% 累积贡献率/% 1 51.006 782 51.006 782 2 22.118 056 73.124 838 3 8.824 740 81.949 578 4 4.280 441 86.230 019 5 3.949 434 90.179 453 6 2.750 725 92.930 178 7 2.196 676 95.126 854 8 1.430 049 96.556 903 9 1.269 466 97.826 369 … … …
Table 2. Comparison of similar algorithms
View tableView in ArticleTable 2. Comparison of similar algorithms
诊断模型 测试集准确率/% 运行时间/s ELM 93.57 0.014 726 SVM 91.43 0.036 786 KNN 80.00 0.039 686 GaussianNB 82.14 0.012 905 DecisionTreeClassifier 86.43 0.010 467 OSELM 93.57 0.004 197 OSRELM 93.57 0.004 386
Table 3. Comparison of ablation experiment results
View tableView in ArticleTable 3. Comparison of ablation experiment results
诊断模型 精度范围/% 平均精度/% PCA-SMOTETomek-OSRELM 90.25～95.00 94.05 PCA-OSRELM 72.25～76.50 74.48 OSRELM 65.02～67.89 65.78 OSELM 61.78～66.74 64.32 ELM 61.78～66.74 64.32
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Longde WANG, Hui CAO, Lai WEI. Study on fault diagnosis of marine main engine's online imbalanced data[J]. Chinese Journal of Ship Research, 2023, 18(5): 269
Paper Information
Category: Marine Machinery, Electrical Equipment and Automation
Received: Jun. 23, 2022
Accepted: --
Published Online: Mar. 21, 2025
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