[1]崔洪举,李海涛,张宝安,等.地铁列车轴承振动特征提取算法研究[J].机械与电子,2017,(08):17-20.[doi:1001-2257(2017)08-0017-04]
 CUI Hongju,LI Haitao,ZHANG Baoan,et al.Research on the Algorithm of Extracting Vibration Characteristics of Metro Train Bearings[J].Machinery & Electronics,2017,(08):17-20.[doi:1001-2257(2017)08-0017-04]
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地铁列车轴承振动特征提取算法研究
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2017年08期
页码:
17-20
栏目:
设计与研究
出版日期:
2017-08-25

文章信息/Info

Title:
Research on the Algorithm of Extracting Vibration Characteristics of Metro Train Bearings
作者:
崔洪举1李海涛1张宝安1郭勤涛2
(1. 中车青岛四方机车车辆股份有限公司,山东 青岛 266111; 2. 南京航空航天大学,江苏 南京 210016)
Author(s):
CUI Hongju1 LI Haitao1 ZHANG Baoan1GUO Qintao2
( 1. CRRC Qingdao Sifang Co., Ltd.,Qingdao 266111,China; 2. Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China )
关键词:
结构健康监测 轴箱轴承 自适应解调法 轴承振动特征
Keywords:
structural health monitoring axle box bearing self-adaptive demodulation method bearing vibration characteristics
分类号:
TH113.1
DOI:
1001-2257(2017)08-0017-04
文献标志码:
A
摘要:
在地铁列车旋转部件中,轴箱轴承是关键的旋转部件之一。提取轴承的振动特征,并对轴承内部结构进行状态评估和健康监测,是列车轴承状态健康监测技术的发展方向和重要应用。通过轴箱轴承跑合试验台试验,针对轴承健康诊断经典方法—包络解调法的局限,实现了一种新的自适应包络解调方法,结合轴承振动试验结果进行了地铁列车轴承振动特征提取,验证了新方法的有效性。
Abstract:
Axle box bearing is one of the key rotating components in the metro train. It is the development trend and important application of the bearing state health monitoring technology to extract the bearing vibration characteristics, and assess and monitor the state and the health of the internal structure of the bearing. In this research, a new adaptive envelope demodulation method was implemented to break the limits of the classical method of bearing health diagnosis by means of the operation test of the axle box bearing. In addition, the bearing vibration characteristics were extracted from the metro train in combination with the test results, which verified the validity of the new method.

参考文献/References:

[1] TANDON N, CHOUDHURY A.A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings[J]. Tribology International, 1999, 32(8):469-480.
[2]DETWDILER W H.Common causes and cures for roller bearing overheating[M]. SKF USA Inc., King of Prussia, PA,2011.
[3]丁芳,高立新,崔玲丽. 共振解调技术在设备故障诊断中的应用[J]. 机械设计与制造,2007(11):178-179.
[4]唐德尧. 共振解调故障诊断技术的特点及应用[J].铁道经济研究,2000(4): 45-47.
[5]梁建华,李亚超,刘欢,等. 一种基于EMD的共振解调改进方法[J]. 国防交通工程与技术,2014,04(16):59-63.
[6]RAI V K, MOHANTY A R. Bearing fault diagnosis using FFT of intrinsic mode functions in Hilbert–Huang transform[J]. Mechanical Systems and Signal Processing, 2007, 21(6):2607-2615.
[7]HUANG N E,SHEN Z,LONG S R.The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J].Proceedings of The Royal Society London A,1998,454(1971):903-995.
[8]叶林,刘鹏. 基于经验模态分解和支持向量机的短期风电功率组合预测模型[J].中国电机工程学报,2011,31(31):102-108.
[9]胡爱军,孙敬敬,向玲. 经验模态分解中的模态混叠问题[J].振动、测试与诊断, 2011, 31(4): 429-434.
[10]程军圣,于德介,杨宇. EMD方法在转子局部碰摩故障诊断中的应用[J].振动、测试与诊断, 2006, 26( 1):24-27.
[11]胡爱军,马万里,唐贵基.基于集成经验模态分解和峭度准则的滚动轴承故障特征提取方法[J].中国电机工程学报,2012,32(11):106-111.
[12]朱文龙,周建中,肖剑,等. 独立分量分析–经验模态分解特征提取在水电机组振动信号中的应用[J].中国电机工程学报,2013,33(29):95-101.

备注/Memo

备注/Memo:
收稿日期:2017-04-26
作者简介:崔洪举(1962-),男,山东青岛人,高级工程师,研究方向为机械设计、试验测试分析。
更新日期/Last Update: 2017-08-25