全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于显式动力学及细化谱的滚动轴承故障诊断方法

Keywords: 滚动轴承,动力学分析,动态演化,细化谱

Full-Text   Cite this paper   Add to My Lib

Abstract:

为了探究滚动轴承早期故障动态演化规律,建立了滚动轴承典型故障三维有限元动力学模型.该模型以显式算法为基础,采用单点积分方式,在充分考虑轴承转速、负载、接触及摩擦的条件下,对滚动轴承内、外圈等典型故障进行了动力学分析.提取基于有限元动力学仿真的故障轴承加速度信号,采用希尔伯特包络解调并结合细化谱分析方法,提取故障轴承信号特征.分析结果表明:故障轴承条件下,轴承不同位置节点的振动响应均能体现故障特征;加速度响应信号在经过细化谱分析后能找到相应故障的特征频率,实现轴承典型故障的有效识别,为进一步探究轴承故障传递路径特性提供了可行的方法.

References

[1]  高强, 杜小山, 范虹, 等. 滚动轴承故障的EMD 诊断
[2]  方法研究[J]. 振动工程学报, 2007, 20(1): 19鄄22.
[3]  GAO Qiang, DU Xiao鄄shan, FAN Hong, et al. An
[4]  袁静, 何正嘉, 訾艳阳. 基于提升多小波的机电设备复
[5]  合故障分离和提取[J]. 机械工程学报, 2010, 46(1):
[6]  79鄄85.
[7]  YUAN Jing, HE Zheng鄄jia, ZI Yan鄄yang. Separation and
[8]  extraction of electromechanical equipment compound faults
[9]  using lifting multiwavelets [ J]. Journal of Mechanical
[10]  Engineering, 2010, 46(1): 79鄄85. (in Chinese)
[11]  董广明, 陈进. 基于循环频率能量的滚动轴承损伤程
[12]  度识别[J]. 振动工程学报, 2010, 23(3): 17鄄21.
[13]  DONG Guang鄄ming, CHEN Jin. Damage extent
[14]  identification of rolling element bearings based on cyclic
[15]  energy indicator [ J]. Journal of Vibration Engineering,
[16]  2010, 23(3): 17鄄21. (in Chinese)
[17]  李辉, 郑海起, 杨绍普. 基于EMD 和Teager 能量算子
[18]  的轴承故障诊断研究[J]. 振动与冲击, 2008, 27
[19]  (10): 22鄄24.
[20]  LI Hui, ZHENG Hai鄄qi, YANG Shao鄄pu. Bearing fault
[21]  diagnosis based on EMD and Teager kaiser energy operator
[22]  [J]. Journal of Vibration and Shock, 2008, 27(10): 22鄄
[23]  24. (in Chinese)
[24]  程军圣, 史美丽, 杨宇. 基于LMD 与神经网络的滚动
[25]  轴承故障诊断方法[J]. 振动与冲击, 2010, 29(8):
[26]  148鄄151.
[27]  CHENG Jun鄄sheng, SHI Mei鄄li, YANG Yu. Roller
[28]  神经网络的滚动轴承声发射故障模式识别技术[J].
[29]  振动与冲击, 2010, 29(10): 169鄄172.
[30]  ZHAO Yuan鄄xi, XU Yong鄄gang, GAO Li鄄xin, et al.
[31]  Fault pattern recognition technique for roller bearing
[32]  acoustic emission based on harmonic wavelet packet and
[33]  BP neural network[J]. Journal of Vibration and Shock,
[34]  2010, 29(10): 169鄄172. (in Chinese)
[35]  SLACK T, SADEGHI F. Explicit finite element modeling
[36]  of subsurface initiated spalling in rolling contacts [J].
[37]  Tribology International, 2010, 43(9): 1693鄄1702.
[38]  谢明, 丁康. 基于复解析带通滤波器的复调制细化谱
[39]  分析的算法研究[J]. 振动工程学报, 2002, 15(4):
[40]  111鄄115.
[41]  XIE Ming, DING Kang. Algorithm of multiple modulation
[42]  zoom spectrum analysis based on complex analytic band鄄
[43]  pass filter[J]. Journal of Vibration Engineering, 2002,
[44]  15(4): 111鄄115. (in Chinese)
[45]  徐婷. 基于复解析带通滤波器的ZOOM鄄FFT 算法的分
[46]  析和实现[J]. 空间电子技术, 2012(1): 67鄄71.
[47]  XU Ting. Analysis and implementation of ZOOM鄄FFT
[48]  algorithm based on complex analytic band鄄pass filter[J].
[49]  Space Electronic Technology, 2012 (1): 67鄄71. ( in
[50]  Chinese)
[51]  李力. 机械信号处理及其应用[M]. 武汉: 华中科技
[52]  大学出版社, 2007: 109鄄149.
[53]  钟秉林, 黄仁. 机械故障诊断学[M]. 北京: 机械工业出版社, 2007: 298-313.
[54]  中国国家标准化管理委员会. GB/ T24611鄄2009/ ISO15243: 2004摇滚动轴承损伤和失效术语、特征及原因
[55]  [S]. 北京: 中国标准出版社, 2004.
[56]  empirical mode decomposition based method for rolling
[57]  bearing fault diagnosis [ J ]. Journal of Vibration
[58]  Engineering, 2007, 20(1): 19鄄22. (in Chinese)
[59]  明安波, 褚福磊, 张炜. 滚动轴承复合故障特征分离的
[60]  小波鄄频谱自相关方法[J]. 机械工程学报, 2013(3):
[61]  84鄄91.
[62]  MING An鄄bo, CHU Fu鄄lei, ZHANG Wei. Compound fault
[63]  features separation of rolling element bearing based on the
[64]  wavelet decomposition and spectrum auto鄄correlation[J].
[65]  Journal of Mechanical Engineering, 2013(3): 84鄄91. (in
[66]  Chinese)
[67]  bearing fault diagnosism ethod based on LMD and neural
[68]  network[J]. Journal of Vibration and Shock, 2010, 29
[69]  (8): 148鄄151. (in Chinese)
[70]  郝如江, 卢文秀, 褚福磊. 声发射检测技术用于滚动轴
[71]  承故障诊断的研究综述[J]. 振动与冲击, 2008, 27
[72]  (3): 80鄄84.
[73]  HAO Ru鄄jiang, LU Wen鄄xiu, CHU Fu鄄lei. Review of
[74]  diagnosis of rolling element bearings defaults by means of
[75]  acoustic emission technique[J]. Journal of Vibration and
[76]  Shock, 2008, 27(3): 80鄄84. (in Chinese)
[77]  廖传军, 李学军, 刘德顺. 小波再分配尺度谱在声发
[78]  射信号特征提取中的应用[J]. 机械工程学报, 2009,
[79]  45(2): 279鄄285.
[80]  LIAO Chuan鄄jun, LI Xue鄄jun, LIU De鄄shun. Application
[81]  of reassigned wavelet scalogram in feature extraction based
[82]  on acoustic emission signal[J]. Journal of Mechanical
[83]  Engineering, 2009, 45(2): 279鄄285. (in Chinese)
[84]  赵元喜, 胥永刚, 高立新, 等. 基于谐波小波包和BP

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133