Research on the Wheel System Fault Diagnosis of Special Vehicle Based on Wavelet Packet-AR Model Spectrum Technique

Lin Guangfeng, Liu Yang, Guo Yingchun, Zhang Fulong, Wang Tao
{"title":"Research on the Wheel System Fault Diagnosis of Special Vehicle Based on Wavelet Packet-AR Model Spectrum Technique","authors":"Lin Guangfeng, Liu Yang, Guo Yingchun, Zhang Fulong, Wang Tao","doi":"10.1109/ICICTA.2015.201","DOIUrl":null,"url":null,"abstract":"Wavelet packet autoregressive spectrum technique are used to analyze the steady and unsteady vibration signals of vehicle wheel system, extracts the fault characteristics of special vehicle wheel system, and realize the extraction of the fault characteristics of analysis object. By analyzing the fitting clearance of wheel system gears, discriminates the fault phenomenon of vehicle wheel system, provides important supports for the maintenance of special vehicle wheel system. Experiments show that this method can realize the fault diagnosis of wheel system for special vehicle equipments and fast on-line measurement, and provide strong support to maintain the intact rate of equipments.","PeriodicalId":231694,"journal":{"name":"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICTA.2015.201","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Wavelet packet autoregressive spectrum technique are used to analyze the steady and unsteady vibration signals of vehicle wheel system, extracts the fault characteristics of special vehicle wheel system, and realize the extraction of the fault characteristics of analysis object. By analyzing the fitting clearance of wheel system gears, discriminates the fault phenomenon of vehicle wheel system, provides important supports for the maintenance of special vehicle wheel system. Experiments show that this method can realize the fault diagnosis of wheel system for special vehicle equipments and fast on-line measurement, and provide strong support to maintain the intact rate of equipments.
基于小波包- ar模型谱技术的特种车辆车轮系统故障诊断研究
采用小波包自回归谱技术对车辆车轮系统的稳态和非稳态振动信号进行分析,提取专用车辆车轮系统的故障特征,实现对分析对象的故障特征提取。通过分析车轮系统齿轮的配合间隙,识别车辆车轮系统的故障现象,为专用车辆车轮系统的维修提供重要支持。实验表明,该方法能够实现特种车辆设备车轮系统的故障诊断和快速在线检测,为保持设备的完成率提供有力支持。
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
自引率
0.00%
发文量
0
×
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