Friction-Induced Noise and Vibrations: Diagnosis and Prognosis

Gang Chen
{"title":"Friction-Induced Noise and Vibrations: Diagnosis and Prognosis","authors":"Gang Chen","doi":"10.4172/2167-7670.1000E118","DOIUrl":null,"url":null,"abstract":"Friction-Induced noise & vibration problem, such as Squeak & Rattle, belt noise and brake noise, has been one of most challenging technical problems faced by automotive industry. For instance, in North America, up to one 100 million dollars every year are spent on noise and vibration issues in warranty work of automotive brake systems [1,2]. The prediction and control of friction-induced noise and vibrations have been considered as an elusive problem. In this article, the friction-induced noise and vibration problem is reviewed by using brake noise as an example. The time-varying, strong nonlinear and stochastic nature of the problem is emphasized. The new perspective of diagnosis and prognosis are proposed to address this problem. The framework of diagnosis and prognosis could be developed by using nonlinear signal processing, phase space reconstruction, nonlinear stochastic system identification, and statistical pattern recognition, which effectively and efficiently helps identify system, validate numerical model, predict troublesome event occurrence and estimate uncertainty.","PeriodicalId":7286,"journal":{"name":"Advances in Automobile Engineering","volume":"24 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Automobile Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4172/2167-7670.1000E118","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Friction-Induced noise & vibration problem, such as Squeak & Rattle, belt noise and brake noise, has been one of most challenging technical problems faced by automotive industry. For instance, in North America, up to one 100 million dollars every year are spent on noise and vibration issues in warranty work of automotive brake systems [1,2]. The prediction and control of friction-induced noise and vibrations have been considered as an elusive problem. In this article, the friction-induced noise and vibration problem is reviewed by using brake noise as an example. The time-varying, strong nonlinear and stochastic nature of the problem is emphasized. The new perspective of diagnosis and prognosis are proposed to address this problem. The framework of diagnosis and prognosis could be developed by using nonlinear signal processing, phase space reconstruction, nonlinear stochastic system identification, and statistical pattern recognition, which effectively and efficiently helps identify system, validate numerical model, predict troublesome event occurrence and estimate uncertainty.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
摩擦引起的噪声和振动:诊断和预后
摩擦噪声与振动问题是汽车工业面临的最具挑战性的技术问题之一,如吱吱声、嘎嘎声、皮带噪声和刹车噪声。例如,在北美,在汽车制动系统的保修工作中,每年花费在噪声和振动问题上的费用高达1亿美元[1,2]。摩擦噪声和振动的预测与控制一直被认为是一个难以解决的问题。本文以制动噪声为例,综述了摩擦噪声与振动问题。强调了该问题的时变、强非线性和随机性质。为解决这一问题,本文提出了诊断和预后的新视角。将非线性信号处理、相空间重构、非线性随机系统辨识和统计模式识别等技术应用于系统的诊断与预测,可以有效地识别系统、验证数值模型、预测麻烦事件的发生和估计不确定性。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Predictive Model Based Low-Speed Adaptive Cruise Control for Autonomous Vehicles Global Electric Vehicles Market to Grapple with Economic Uncertainty in Near Term, Resurgence anticipated post-COVID-19 3D FE model for the acoustic analysis of an automotive muffler with glass wool A possible collision safer device for automobile vehicles Design of Energy-Absorbed Structures and Materials with Graded Configurations in the Automotive Body
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1