中国舰船研究2025，Vol.20Issue(2)：77-88,12.DOI:10.19693/j.issn.1673-3185.04193
基于WOA-RF算法的船舶柴发配电系统故障诊断
Fault diagnosis of ship diesel power distribution system based on WOA-RF algorithm
摘要
Abstract
[Objective]The marine diesel generator(DG)power distribution system is crucial for ship navig-ation.However,due to the harsh marine environment,frequent failures occur.Therefore,a fault diagnosis method based on whale optimization algorithm-optimized random forest(WOA-RF)is proposed for the mar-ine DG power distribution system.[Methods]The marine DG power distribution system model is built using Matlab/Simulink simulation software.First,fault and normal condition data are collected.Then,the collected data is normalized,time-domain features are extracted,and important features are selected using random forest to reduce data dimensionality.Finally,the WOA-optimized random forest model is used for fault identifica-tion,diagnosis and classification.[Results]Simulation results show that the WOA-RF method can identify fault and normal states with 100%accuracy.It can classify 12 different fault types with an accuracy of 98.26%.In the original dataset,the accuracy of WOA-RF improved by at least 4.86%and by up to 34.37%compared to nine different algorithms.In the dataset with 10 dB noise,the accuracy of WOA-RF improved by at least 2.43%and by up to 18.40%compared to six different algorithms.[Conclusion]The WOA-RF-based fault diagnosis method demonstrates superior accuracy and robustness in complex marine environments,providing a reliable solution for fault identification in marine power systems.关键词
船舶柴发配电系统/故障分析/故障诊断/鲸鱼优化算法/随机森林算法/Simulink模型/特征提取Key words
marine diesel power distribution system/failure analysis/fault diagnosis/whale optimization algorithm(WOA)/random forest(RF)/Simulink model/feature extraction分类
交通工程引用本文复制引用
李维波,高峰,肖朋,黄康政,阮道杰,高俊卓..基于WOA-RF算法的船舶柴发配电系统故障诊断[J].中国舰船研究,2025,20(2):77-88,12.基金项目
国家重点研发计划项目(2020YFB1506802) （2020YFB1506802）
国家自然科学基金面上项目(51977164) （51977164）
湖北省科技计划项目(2024BAB067) （2024BAB067）
