[1]许人杰.经验小波在机车轴承故障诊断中的应用[J].机车电传动,2019,(05):46-49.[doi:10.13890/j.issn.1000-128x.2019.05.010]
 XU Renjie.Locomotive Bearing Fault Diagnosis Using Empirical Wavelet Transform[J].Electric Drive for Locomotives,2019,(05):46-49.[doi:10.13890/j.issn.1000-128x.2019.05.010]
点击复制

经验小波在机车轴承故障诊断中的应用()
分享到:

机车电传动[ISSN:1000-128X/CN:43-1125/U]

卷:
期数:
2019年05期
页码:
46-49
栏目:
研究开发
出版日期:
2019-09-10

文章信息/Info

Title:
Locomotive Bearing Fault Diagnosis Using Empirical Wavelet Transform
文章编号:
1000-128X(2019)05-0046-04
作者:
许人杰
(中铁物总铁路装备物资有限公司,北京 100036)
Author(s):
XU Renjie
( China Railway Materials Railway Equipment Co., Ltd., Beijing 100036, China )
关键词:
经验小波变换故障诊断机车轴承
Keywords:
empirical?wavelet?transform?fault?diagnosis?locomotive?bearing
分类号:
U269.32+2; U260.331+.2
DOI:
10.13890/j.issn.1000-128x.2019.05.010
文献标志码:
A
摘要:
针对机车轴承故障诊断中故障特征提取的难题,将经验小波变换( EWT)引入机车轴承振动信号分析。经验小波通过构造紧支撑自适应滤波器将信号分解为多个固有模态分量,能有效抑制模态混叠。针对轴承振动特征对经验小波变换进行改进,提出了首先利用改进经验小波变换分解机车轴承振动信号,然后以峭度为指标筛选敏感分量,进而对敏感分量进行希尔伯特包络解调提取轴承故障特征的诊断方法。机车运行试验表明,文章所提出的方法划分机车轴承振动信号频带合理,能有效提取轴承故障特征频率,准确诊断各种类型的轴承故障。
Abstract:
Aiming?at?the?difficult?problem?of?fault?feature?extraction?in?locomotive?bearing?fault?diagnosis,?the?empirical?wavelet?transform? (EWT)? was? introduced? into? locomotive? bearing? vibration? signal? analysis.? Empirical? wavelet? transform? decomposed? the?signal?into?multiple?intrinsic?modal?components?by?constructing?compactly?supported?adaptive?filters,?which?could?effectively?suppress?modal?aliasing.?In?this?paper,?the?empirical?wavelet?transform?(EWT)?was?improved?for?bearing?vibration?characteristics.?Firstly,?the?EWT?was?used?to?decompose?the?vibration?signals?of?locomotive?bearings,?then?the?sensitive?components?were?screened?by?kurtosis,?and?then?the?Hilbert?envelope?demodulation?was?used?to?extract?the?fault?features?of?bearings.?The?locomotive?operation?experiment?showed? that? the? proposed? method? is? reasonable? in? dividing? the? frequency? band? of? vibration? signal? of? locomotive? bearing,? and? can?effectively?extract?the?characteristic?frequency?of?bearing?fault?and?accurately?diagnose?various?types?of?bearing?fault.

参考文献/References:

[1] 魏勇召 , 赵明元 , 杨江天 . 信号自适应分解对比研究及其在机车轴承故障诊断中的应用 [J]. 机车电传动 , 2017(4): 91-94.

[2] 杨江天 , 赵明元 . 改进双谱和经验模态分解在牵引电机轴承故障诊断中的应用 [J]. 中国电机工程学报 , 2012, 32(18): 116-122.
[3] 贾依娇 . 局域均值分解在机车轴承故障诊断中的应用研究 [D].北京 : 北京交通大学 , 2014.
[4] 陈欣安 . 信号自适应分解及其在轨道车辆故障诊断中的应用 [D].北京 : 北京交通大学 , 2016.
[5] 陈希隽 , 方恩权 , 王锋涛 , 等 . 基于 VMD 的地铁车辆平轮状态监测和诊断 [J]. 机车电传动 , 2017(3): 87-91.
[6] 靳行 , 林建辉 , 伍川辉 , 等 . 基于 EEMD-TEO 熵的高速列车轴承故障诊断方法 [J]. 西南交通大学学报 , 2018, 53(2): 359-366.
[7] 易彩 , 林建辉 , 丁建明 , 等 . 基于 IMF 熵价值的轮对轴承故障自适应诊断 [J]. 铁道学报 , 2017, 39(10): 43-50.
[8]? GILLES?J.?Empirical?wavelet?transform[J].?IEEE?Transactions?on?Signal?Processing,?2013,?61(16):??3999-4010.
[9] 冯博 , 李辉 , 郑海起 . 基于经验小波变换的轴承故障诊断研究 [J].轴承 , 2015(12): 53-58.
[10] 戴晓超 , 王兴宇 , 王泽飞 , 等 . 高速齿轮箱圆锥滚子轴承滚道接触损伤机理分析 [J]. 机车电传动 , 2018(3): 62-65.
[11] 李辉 , 刘义伦 , 唐德尧 . 基于冲击特征的轴承保持架变形故障识别方法研究 [J]. 机车电传动 , 2015(6): 95-97.

相似文献/References:

[1]曾承志,等.多物理量融合的轴承齿轮故障诊断方法研究[J].机车电传动,2015,(02):85.[doi:10.13890/j.issn.1000-128x.2015.02.021]
 ZENG Chengzhi,YAO Xingjia,et al.Research on Bearing-gear Fault Diagnosis Method Based on Multiple Physical Quantities Fusion[J].Electric Drive for Locomotives,2015,(05):85.[doi:10.13890/j.issn.1000-128x.2015.02.021]
[2]肖滋洪.地铁车辆高压供电电路过流故障诊断分析及改进[J].机车电传动,2014,(04):73.[doi:10.13890/j.issn.1000-128x.2014.04.019]
[3]韩利军.SFM04 型车制动速度传感器故障分析和处理[J].机车电传动,2016,(02):92.[doi:10.13890/j.issn.1000-128x.2016.02.025]
[4]樊嘉峰,邓铁松,苏钊颐,等.分度圆裂纹齿轮副动态特性及故障诊断[J].机车电传动,2016,(03):74.[doi:10.13890/j.issn.1000-128x.2016.03.018]
 FAN Jiafeng,DENG Tiesong,SU Zhaoyi,et al.Dynamic Performance and Fault Diagnosis of Gear-pair with Reference Circles’ Cracks[J].Electric Drive for Locomotives,2016,(05):74.[doi:10.13890/j.issn.1000-128x.2016.03.018]
[5]王志远,张杰,王雨琦,等.基于三相电流检测的逆变器开路故障诊断及容错方案研究[J].机车电传动,2014,(02):105.[doi:10.13890/j.issn.1000-128x.2014.02.026]
 WANG Zhi-yuan,ZHANG Jie,WANG Yu-qi,et al.Inverter Open-circuit Fault Diagnosis and Its Fault-tolerant Method Based on Three-phase Current Detection[J].Electric Drive for Locomotives,2014,(05):105.[doi:10.13890/j.issn.1000-128x.2014.02.026]
[6]齐振国,侯秀娟.神经网络在铁道车辆齿轮箱故障诊断系统中的应用[J].机车电传动,2014,(01):97.[doi:10.13890/j.issn.1000-128x.2014.01.026]
 QI Zhen-guo,HOU Xiu-juan.Application of Neural Network in RailwayVehicle Gearbox Fault Diagnosis System[J].Electric Drive for Locomotives,2014,(05):97.[doi:10.13890/j.issn.1000-128x.2014.01.026]
[7]高吉磊. 高速动车组牵引系统无动力回送发电功能的研究[J].机车电传动,2017,(01):1.[doi:10.13890/j.issn.1000-128x.2017.01.101]
 GAO Jilei, Research on Power-generation Function for High-speed EMU Traction System in Dragged Mode[J].Electric Drive for Locomotives,2017,(05):1.[doi:10.13890/j.issn.1000-128x.2017.01.101]
[8]高吉磊.高速动车组牵引系统无动力回送发电功能的研究[J].机车电传动,2017,(01):46.[doi:10.13890/j.issn.1000-128x.2017.01.101]
 GAO Jilei,Research on Power-generation Function for High-speed EMU Traction System in Dragged Mode[J].Electric Drive for Locomotives,2017,(05):46.[doi:10.13890/j.issn.1000-128x.2017.01.101]
[9]朱鹏举.广州地铁牵引制动指令同时存故障分析及解决措施[J].机车电传动,2013,(04):63.[doi:10.13890/j.issn.1000-128x.2013.04.023]
[10]郭尽朝,邓亚波,吴航.机车同步装置动态检测系统的研究与应用[J].机车电传动,2013,(02):67.[doi:10.13890/j.issn.1000-128x.2013.02.022]
 GUO Jin-zhao,DENG Ya-bo,WU Hang.Research & Application of Locomotive Synchronous Control Remote Monitor Platform[J].Electric Drive for Locomotives,2013,(05):67.[doi:10.13890/j.issn.1000-128x.2013.02.022]

备注/Memo

备注/Memo:
作者简介: 许人杰(1988—),男,硕士,工程师,研究方向为机械故障诊断。
更新日期/Last Update: 2019-10-10