Fault diagnosis of ship diesel power distribution system based on WOA-RF algorithm

Table 1. Confusion matrix
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Table 1. Confusion matrix
预测为正类别预测为负类别
真实为正类别 True positive（TP） False negative（FN）
真实为负类别 False positive（FP） True negative（TN）

Table 2. Model parameters

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Table 2. Model parameters

参数	数值
额定功率P_n/MW	6
额定电压U_l/V	660
定子电阻R_s/Ω	0.003 6
额定频率f_n/Hz	50
惯性系数H(s)/s	1.07
极对数P	4
d轴同步电抗$ X_{\text{d}} $/pu	1.26
d轴暂态同步电抗$ X'_{\text{d}} $/pu	0.213
d轴次暂态同步电抗$ X''_{\text{d}} $/pu	0.111
q轴同步电抗$ X_{\text{q}} $/pu	0.70
q轴次暂态同步电抗$ X''_{\text{q}} $/pu	0.122
漏电抗 $ X_{\text{l}} $/pu	0.067
d轴暂态时间常数$ T' $/s	0.32
d轴次暂态时间常数$ {T''_{\text{d}}} $/s	0.015
q轴次暂态时间常数$ {T''_{\text{q}}} $/s	0.30

Table 3. Fault categories and labels

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Table 3. Fault categories and labels

故障类别	标签
A相接地故障	1
B相接地故障	2
C相接地故障	3
AB相相间短路故障	4
BC相相间短路故障	5
CA相相间短路故障	6
AB相两相接地故障	7
BC相两相接地故障	8
CA相两相接地故障	9
ABC三相短路故障	10
ABC三相接地故障	11
正常工况	12

Table 4. Load connection table
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Table 4. Load connection table
组合序号负载1/MW 负载2/MW
1 1 0
2 3 1
3 0.5 5.5

Table 5. Comparison of four metrics between WOA-RF and other algorithms

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Table 5. Comparison of four metrics between WOA-RF and other algorithms

算法	评估指标/%
算法	准确率	精确率	召回率	F1分数
KNN	86.11	85.52	84.57	84.45
SVM	72.57	73.38	84.31	76.28
BP	63.89	66.19	66.23	63.94
RF	90.36	90.17	90.25	90.02
LVQ	74.65	73.38	73.20	71.92
EL	93.40	92.82	92.80	92.81
ELM	86.84	86.31	87.26	86.78
CNN	91.67	92.07	91.88	91.98
DT	94.44	94.20	94.18	94.19
WOA-RF	98.26	98.61	98.78	98.69

Table 6. Comparison of four metrics between WOA-RF and other algorithms after adding noise

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Table 6. Comparison of four metrics between WOA-RF and other algorithms after adding noise

算法	评估指标/%
算法	准确率	精确率	召回率	F1分数
KNN	78.47	78.37	77.99	76.88
BP	76.74	77.30	76.94	76.18
RF	88.89	90.83	88.88	88.87
ELM	89.61	86.64	86.82	86.73
EL	92.01	91.56	91.57	91.56
DT	92.71	92.51	92.48	92.36
WOA-RF	95.14	95.36	95.30	95.28

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Weibo LI, Feng GAO, Peng XIAO, Kangzheng HUANG, Daojie RUAN, Junzhuo GAO. Fault diagnosis of ship diesel power distribution system based on WOA-RF algorithm[J]. Chinese Journal of Ship Research, 2025, 20(2): 77

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