基于Vold-Kalman滤波的阶次分析系统设计与实现
详细信息    查看全文 | 推荐本文 |
  • 英文篇名:Design and Implementation of Order Analysis System Based on Vold-Kalman Filter
  • 作者:昝涛 ; 刘智豪 ; 王辉 ; 庞兆亮
  • 英文作者:ZAN Tao;LIU Zhi-hao;WANG Hui;PANG Zhao-liang;Beijing Key Laboratory of Advanced Manufacturing Technology, College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology;
  • 关键词:阶次分析 ; LabVIEW ; Vold-Kalman滤波 ; 旋转机械
  • 英文关键词:order analysis;;LabVIEW;;Vold-Kalman filtering;;rotating machinery
  • 中文刊名:ZHJC
  • 英文刊名:Modular Machine Tool & Automatic Manufacturing Technique
  • 机构:北京工业大学机电学院先进制造技术北京市重点实验室;
  • 出版日期:2019-07-20
  • 出版单位:组合机床与自动化加工技术
  • 年:2019
  • 期:No.545
  • 基金:国家自然科学基金项目资助(51575014);; 北京市教委科技计划项目资助(KM201410005026)
  • 语种:中文;
  • 页:ZHJC201907011
  • 页数:5
  • CN:07
  • ISSN:21-1132/TG
  • 分类号:48-51+55
摘要
针对传统计算阶次分析方法分辨率低,且无法分辨密集阶次与交叉阶次等缺陷,引入Vold-Kalman滤波阶次分析理论。并通过虚拟仪器技术对上述理论进行编程实现,设计开发了一套阶次分析系统。在仿真实验与实际应用中表明,该方法能有效解决"频率模糊"问题,与传统计算阶次分析相比,可大幅提高阶次谱分辨率,且系统操作快捷方便,分析结果准确可靠。
        In order to overcome the shortcomings of traditional computational order analysis, such as low resolution and unable to distinguish dense order and cross order, the Vold-Kalman filter order analysis theory is introduced. And through the virtual instrument technology to achieve the above theory, a set of order analysis system is designed and developed. Simulation experiments and practical applications shows that the method can effectively solve the problem of frequency-ambiguity. Compared with the traditional calculation order analysis, the resolution of the order spectrum can be greatly improved, and the system operation is quick and convenient, and the analysis result is accurate and reliable.
引文
[1] 李舜酩,郭海东,李殿荣.振动信号处理方法综述[J].仪器仪表学报,2013,34(8):1907-1915.
    [2] 胡伊贤,李舜酩,张袁元,等.车辆噪声源识别方法综述[J].噪声与振动控制,2012,32(5):11-15,20.
    [3] 杨炯明.虚拟式旋转机械特征分析仪系统的研究与应用[D].重庆:重庆大学,2005.
    [4] 傅炜娜.基于Vold-Kalman跟踪滤波的旋转机械阶比分析方法研究[D].重庆:重庆大学,2010.
    [5] 林京,赵明.变转速下机械设备动态信号分析方法的回顾与展望[J].中国科学:技术科学,2015,45(7):669-686.
    [6] 康海英,栾军英,郑海起,等.基于阶次跟踪和经验模式分解的齿轮故障诊断[J].上海交通大学学报,2007,41(9):1529-1532.
    [7] 王民,张晋欣,昝涛,等.数控加工中心高速电主轴运行状态测试[J].振动.测试与诊断,2013,33(4):660-663,727.
    [8] Urresty J C,Riba J R,Romeral L.Diagnosis of Interturn Faults in PMSMs Operating Under Nonstationary Conditions by Applying Order Tracking Filtering[J].IEEE Transactions on Power Electronics,2012,28(1):507-515.
    [9] Mehmet Akar.Detection of a static eccentricity fault in a closed loop driven induction motor by using the angular domain order tracking analysis method[J].Mechanical Systems and Signal Processing,2013,34(1-2):173-182.
    [10] Pelant P,Tuma J,Benes T.Vold-Kalman order tracking filtration in car noise and vibration measurements[C].INTER-NOISE and NOISE-CON Congress and Conference Proceedings,2004.
    [11] 温熙森.模式识别与状态监控[M].北京:科学出版社,2007.
    [12] 郭瑜,秦树人,汤宝平,等.基于瞬时频率估计的旋转机械阶比跟踪[J].机械工程学报,2003,39(3):32-36.
    [13] 孙宜权,张英堂,李志宁,等.运用Vold-Kalman阶比跟踪的发动机失火故障在线诊断[J].振动.测试与诊断,2013,33(6):1014-1018.
    [14] M Ch Pan,Y F Lin.Further exploration of Vold-Kalman filtering order tracking with shaft-speed information—I:Theoretical Part,numerical implementation and parameter investigations[J].Mechanical Systems and Signal Processing,2006,20:1134-1154.
    [15] M Ch Pan,Y F Lin.Further exploration of Vold-Kalman filtering order tracking with shaft-speed information—II:Engineering applications[J].Mechanical Systems and Signal Processing,2006,20:1410-1428.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700