中国舰船研究2025，Vol.20Issue(2)：47-55,9.DOI:10.19693/j.issn.1673-3185.03663
基于自适应SSA和改进TEO的船用消防泵电机轴承故障特征增强与诊断
Marine fire pump motor bearings fault feature enhancement and diagnosis based on adaptive SSA and improved TEO
摘要
Abstract
[Objective]The working environment of marine fire pump motor bearings is complex with low fault diagnosis accuracy.To address these issues,this study proposes a fault feature enhancement and diagnosis method for marine fire pump motor bearings based on adaptive steady-state subspace analysis(SSA)and im-proved Teager energy operator(TEO).[Methods]First,the traditional SSA algorithm is optimized to ad-aptively determine the dimensionality of the Hankel matrix by the false nearest neighbor method,and non-stationary signals with the best fault features are extracted from the vibration signal through kurtosis.Second,by improving the TEO algorithm,the proportion of fault feature information in the vibration signals is in-creased,fault features are enhanced and faults are diagnosed.Finally,the effectiveness of the method is veri-fied through simulation and engineering experiments.[Results]The proposed method can accurately distin-guish the fault characteristic frequency and harmonics of bearings,and accurately diagnose bearing faults.[Conclusion]The results of this study can provide references for the fault diagnosis of marine pump motor bearings.关键词
船用消防泵/电机轴承故障/故障分析/故障诊断/自适应稳态子空间分析/改进Teager能量算子Key words
marine fire pump/motor bearing failure/failure analysis/fault diagnosis/adaptive steady-state subspace analysis(SSA)/improved Teager energy operator(TEO)分类
交通工程引用本文复制引用
宋雪玮,廖志强,贾宝柱..基于自适应SSA和改进TEO的船用消防泵电机轴承故障特征增强与诊断[J].中国舰船研究,2025,20(2):47-55,9.基金项目
国家自然科学基金资助项目(52201355,52071090) （52201355,52071090）
广东省教育厅重点领域资金项目(2020ZDZX3063) （2020ZDZX3063）
广东海洋大学科研启动经费资助项目(060302132304,060302132101) （060302132304,060302132101）
