二维全息谱在旋转机械故障诊断中的应用

耿富礼; 李富才; 孟光

doi:10.13433/j.cnki.1003-8728.2014.1001

二维全息谱在旋转机械故障诊断中的应用

doi: 10.13433/j.cnki.1003-8728.2014.1001

1.
上海交通大学机械系统与振动国家重点实验室, 上海 200240

基金项目:

科技部 863 计划项目(2012AA040106)和国家自然基金项目(11072148，11061160491)资助

详细信息

作者简介:
耿富礼(1988-)，硕士研究生，研究方向为振动信号处理和机械设备故障诊断研究，Geng.fl@163.com;李富才(联系人)，副教授，博士生导师，fcli@sjtu.edu.cn

耿富礼(1988-)，硕士研究生，研究方向为振动信号处理和机械设备故障诊断研究，Geng.fl@163.com;李富才(联系人)，副教授，博士生导师，fcli@sjtu.edu.cn

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出版历程
- 收稿日期: 2013-04-08

Research on Fault Diagnosis Using 2-D Holospectrum for Rotating Machinery

1.
State Key Laboratory of Mechanical System and Vibration, Shanghai Jiaotong University, Shanghai 200240

摘要

摘要: 通过对振动信号的处理、分析发现,旋转机械转子系统的振动信号经幅值谱、功率谱等传统的谱分析方法后,往往除了1倍频外还包括各次谐波及高倍频成份;引起转子系统振动信号中2倍频分量的因素很多,包括不对中、裂纹和电磁干扰等。直接从幅值谱等传统的谱分析方法很难判断2倍频振动分量的性质和原因。研究基于对中性良好的转子试验台,模拟了多种转子系统的故障,研究了二维全息谱以及轴心轨迹在旋转机械轴裂纹故障和碰磨故障诊断中的应用,结果证明所实现算法的有效性。
- 全息谱 /
- 轴心轨迹 /
- 旋转机械 /
- 故障诊断
Abstract: Rotors vibration signal of rotating machinery often contains various harmonic and high frequency doublingin addition to base frequency by using amplitude spectrum, power spectrum and other traditional spectral analysismethods.Factors that cause 2X frequency doubling of rotor vibration signal may be misalignment, cracks, electromagnetic interference, etc, and it is difficult to determine the nature and causes of 2X frequency doublingvibration components directly from the amplitude spectrum and other traditional spectral analyses.A variety of rotorsystem failures are simulated based on the rotor test rig, this work mainly studies the application of 2D-holospectrumand shaft orbits in shaft crack fault and rubbing fault diagnosis of rotating machinery, the results verifys theeffectiveness of the proposed algorithms.
- algorithms /
- computer simulation /
- electric vehicles /
- experiments

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参考文献(12)

[1]	胡彦红，张雷，林建中，等.基于全息谱的转子系统故障诊断分析[J].振动与冲击,2009,28(12): 164-166Hu Y H，Zhang L，Lin J Z，et al.Diagnosis analysis ofrotor system based on holospectrum[J].Vibratation andShock,2009,28(12): 164-166 (in Chinese)
[2]	屈梁生，史东锋.全息谱十年: 回顾与展望[J].振动、测试与诊断,1998,18(4): 235-242Qu L S，Shi D F.Holospectrum during the past decade:review & prospect [J].Vibration，Measurement &Diagnosis,1998,18(4): 235-242 (in Chinese)
[3]	刘然，许宝杰.基于EMD 和全息谱的设备故障诊断方法研究[J].机械科学与技术，2011，30 (11):1922-1926Liu R，Xu B J.The study of the equipment failurediagnosis method based on EMD and holospectrum[J].Mechanical Science and Technology，2011，30 (11):1922-1926 (in Chinese)
[4]	屈梁生，刘雄，陈岳东.全息谱分析方法的原理和应用[J].设备管理与维修,1991，(8): 23-25Qu L S，Liu X，Chen Y D.Principles and applicationsof holographic spectral analysis method [J].PlantMaintenance Engineering，1991，(8): 23-25 (in Chinesee)
[5]	刘石，屈梁生.回转机械故障诊断中的三维全息谱技术[J].西安交通大学学报,2004,38(9): 900-903Liu S，Qu L S.Three dimensional holospectrum inrotating machinery diagnosis [J].Journal of Xi' anJiaotong Univeisity,2004,38(9): 900-903 (in Chinese)
[6]	练晓婷，张雷，李光宇.基于Labview 的二维全息谱绘制[J].风机技术,2011，(5)Lian X T，Zhang L，Li G Y.The drawing of twodimensionalholographic spectrum based on labview[J].Compressor，Blower & Fan Technology，2011，(5) (in Chinesee)
[7]	杜永祚，秦志英.旋转机械动态信号全息谱分析[J].振动、测试与诊断,2002,22(2): 81-88Du Y Z，Qin Z Y.Holospectrum analysis of rotatingMachinery dynamic signal[J].Vibration，Measurement& Diagnosis,2002,22(2): 81-88 (in Chinese)
[8]	张亚磊.全息谱技术在汽轮发电机组轴系不平衡故障中的应用[D].西安: 西安建筑科技大学,2010Zhang Y L.Holospectrum technology is applied inimbalance of the turbogenerator shafts[D].Xi'an: Xi'anUniversity of Architecture and Technology，2010 (in Chinesee)
[9]	赵利华.旋转机械故障机理与轴心轨迹识别方法研究[D].大连: 大连理工大学,2010Zhao L H.Investigation on failure mechanism and shiftorbits recognition methods for rotating machine[D].Dalian: Dalian University of Technology，2010 (in Chinesee)
[10]	胡照林.裂纹及碰摩转子动力学分析与研究[D].武汉: 华中科技大学,2007Hu Z L.The dynamic analysis and study of cracked andrub-impact rotor[D].Wuhan: Huzhong University ofScience and Technology,2007 (in Chinese)
[11]	李曼，李勇.基于全息谱的矿用通风机故障诊断虚拟仪器[J].煤炭科学技术,2010,38(3)Li M，Li Y.Virtual instrument of fault diagnosis formine ventilator based on holographic spectrum[J].CoalScience and Technology,2010,38(3) (in Chinese)
[12]	徐敏强，张嘉钟，张国斌.基于MATLAB 软件平台的全息谱图及在风机振动故障诊断中应用的研究[J].风机技术,2000，(2): 38-41Xu M Q,Zhang J Z,Zhang G B.Research onapplication of holospectrum of MATLAB softwareplatform on vibrating and trouble diagnosis of fan[J].Compressor，Blower & Fan Technology,2000，(2): 38-41(in Chinese)