中国舰船研究2025，Vol.20Issue(2)：56-67,12.DOI:10.19693/j.issn.1673-3185.04014
基于BM-MTF的船舶水泵轴承故障特征增强与诊断研究
Research on fault feature enhancement and diagnosis of marine water pump bearing based on BM-MTF
摘要
Abstract
[Objective]Marine water pump bearings operate in complex environments,and the fault features in the acquired signals are easily submerged by noise,resulting in low fault diagnosis accuracy.This paper proposes a Butterworth mean filtering Markov transition field(BM-MTF)technique combined with the Res-Net-18 network to solve the problem.[Methods]First,the BM filter is employed to improve the fault im-pulse waveform of the signal,suppressing noise interference and amplifying fault characteristics.Then,a two-dimensional image is generated through MTF to effectively visualize and enhance the signal characteristics.The MTF images,after BM filtering,are input into the ResNet-18 network for fault diagnosis.Finally,the method is verified using the public bearing fault dataset from Case Western Reserve University,the laboratory bearing fault dataset,and marine water pump bearing fault dataset,with comparisons to other methods.[Results]The proposed method demonstrates a 100%accuracy on three bearing fault datasets.The compar-ative experiments show that the proposed method can effectively extract fault features and achieves higher re-cognition accuracy.[Conclusion]This paper presents a novel method for fault diagnosis of marine water pump bearings.关键词
船舶水泵/轴承/故障分析/特征提取/故障特征增强/马尔可夫转移场/ResNet-18网络Key words
marine water pump/bearings/failure analysis/feature extraction/fault feature enhance-ment/Markov transition field/ResNet-18 network分类
交通工程引用本文复制引用
廖志强,黄振德,宋雪玮,梁观龙,贾宝柱..基于BM-MTF的船舶水泵轴承故障特征增强与诊断研究[J].中国舰船研究,2025,20(2):56-67,12.基金项目
国家自然科学基金资助项目(52201355,52071090,52401418) （52201355,52071090,52401418）
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）
