A fault diagnosis method for bogie axle box bearing based on sound-vibration multiple signal fusion

IF 3.4 2区 物理与天体物理 Q1 ACOUSTICS
Zejun Zheng, Dongli Song, Weihua Zhang, Chen Jia
{"title":"A fault diagnosis method for bogie axle box bearing based on sound-vibration multiple signal fusion","authors":"Zejun Zheng,&nbsp;Dongli Song,&nbsp;Weihua Zhang,&nbsp;Chen Jia","doi":"10.1016/j.apacoust.2024.110336","DOIUrl":null,"url":null,"abstract":"<div><div>The fault diagnosis method of multi-signal fusion is one of the current research trends, which can improve the reliability of diagnosis results. In this paper, the single channel signal is decomposed by multi-channel bandpass filter bank, and a new indicator value is constructed to select the optimal component. A new fusion demodulation method is constructed by using the two signal demodulation methods to extract the characteristic frequency of the single channel signal. Subsequently, the characteristic spectrum of the multi-channel signals is fused to extract the final characteristic frequency. The diagnosis method is verified by the simulation signal and the sound signal and vibration signal collected by the experiment. The results show that the proposed method can reduce the content of noise components in the characteristic spectrum, highlight the fault characteristic frequency, and reflect the superiority of the proposed method compared with other methods. This paper provides guidance for feature extraction of data fusion methods in the future, and provides an effective method for fault diagnosis and condition monitoring of bearings.</div></div>","PeriodicalId":55506,"journal":{"name":"Applied Acoustics","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Acoustics","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0003682X24004870","RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ACOUSTICS","Score":null,"Total":0}
引用次数: 0

Abstract

The fault diagnosis method of multi-signal fusion is one of the current research trends, which can improve the reliability of diagnosis results. In this paper, the single channel signal is decomposed by multi-channel bandpass filter bank, and a new indicator value is constructed to select the optimal component. A new fusion demodulation method is constructed by using the two signal demodulation methods to extract the characteristic frequency of the single channel signal. Subsequently, the characteristic spectrum of the multi-channel signals is fused to extract the final characteristic frequency. The diagnosis method is verified by the simulation signal and the sound signal and vibration signal collected by the experiment. The results show that the proposed method can reduce the content of noise components in the characteristic spectrum, highlight the fault characteristic frequency, and reflect the superiority of the proposed method compared with other methods. This paper provides guidance for feature extraction of data fusion methods in the future, and provides an effective method for fault diagnosis and condition monitoring of bearings.
基于声振多信号融合的转向架轴箱轴承故障诊断方法
多信号融合的故障诊断方法是当前的研究趋势之一,它可以提高诊断结果的可靠性。本文通过多通道带通滤波器组对单通道信号进行分解,并构建新的指标值来选择最优分量。利用两种信号解调方法构建了一种新的融合解调方法,以提取单通道信号的特征频率。随后,融合多通道信号的特征频谱,提取最终的特征频率。诊断方法通过仿真信号和实验采集的声音信号和振动信号进行了验证。结果表明,所提出的方法可以减少特征频谱中噪声成分的含量,突出故障特征频率,体现了与其他方法相比的优越性。本文为今后数据融合方法的特征提取提供了指导,为轴承的故障诊断和状态监测提供了一种有效的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Applied Acoustics
Applied Acoustics 物理-声学
CiteScore
7.40
自引率
11.80%
发文量
618
审稿时长
7.5 months
期刊介绍: Since its launch in 1968, Applied Acoustics has been publishing high quality research papers providing state-of-the-art coverage of research findings for engineers and scientists involved in applications of acoustics in the widest sense. Applied Acoustics looks not only at recent developments in the understanding of acoustics but also at ways of exploiting that understanding. The Journal aims to encourage the exchange of practical experience through publication and in so doing creates a fund of technological information that can be used for solving related problems. The presentation of information in graphical or tabular form is especially encouraged. If a report of a mathematical development is a necessary part of a paper it is important to ensure that it is there only as an integral part of a practical solution to a problem and is supported by data. Applied Acoustics encourages the exchange of practical experience in the following ways: • Complete Papers • Short Technical Notes • Review Articles; and thereby provides a wealth of technological information that can be used to solve related problems. Manuscripts that address all fields of applications of acoustics ranging from medicine and NDT to the environment and buildings are welcome.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信