Comparison of envelope demodulation methods in the analysis of rolling bearing damage

被引:8
|
作者
Bauer, Manuel [1 ]
Balaratnam, Netharasan [1 ]
Weidenauer, Julia [1 ]
Wagner, Fabian [1 ]
Kley, Markus [1 ]
机构
[1] Hsch Aalen, Inst Drive Technol, Beethovenstr 1, D-73430 Aalen, Germany
关键词
bearing damage; condition monitoring; envelope demodulation; vibration analysis; window size;
D O I
10.1177/10775463221129155
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
In rotating machinery, especially in rolling bearing diagnostics, early and effective fault diagnosis is essential to ensure the reliability of rolling bearings. The commonly used vibration analysis gathers large amounts of information about the dynamics and the general condition of the bearings by recording vibrations generated by a rolling bearing. Within the vibration analysis, the location of the damage can be determined by using envelope demodulation. This is done by identifying the damage frequency within a damaged bearing. Peak-, Root-Mean-Square (RMS)-, and Hilbert-envelopes are the conventional demodulation methods in this field, but each of these methods is different and thus more or less suitable for particular applications. This paper presents a comparative study of these three methods. The selected envelopes are compared and evaluated through experiments, the evaluation of measurement data and the establishment of quality characteristics regarding efficiency and quality. In the process, a decision tool is created to help in the selection of a suitable envelope demodulation technique. A formula for calculating an optimal window size of the Peak-envelope is established, as well as a recommendation for selecting a window size of the RMS-envelope.
引用
收藏
页码:5009 / 5020
页数:12
相关论文
共 50 条
  • [1] The Rolling Bearing Fault Feature Extraction Based on the LMD and Envelope Demodulation
    Ma, Jun
    Wu, Jiande
    Fan, Yugang
    Wang, Xiaodong
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2015, 2015
  • [2] NEW METHODS FOR DETECTION OF ROLLING BEARING DAMAGE
    YOSHIOKA, T
    [J]. JOURNAL OF JAPAN SOCIETY OF LUBRICATION ENGINEERS, 1981, 26 (02): : 85 - 90
  • [3] Bearing Fault Diagnosis Method Based on Hilbert Envelope Demodulation Analysis
    Wang, Nan
    Liu, Xia
    [J]. 2018 3RD INTERNATIONAL CONFERENCE ON ADVANCED MATERIALS RESEARCH AND MANUFACTURING TECHNOLOGIES (AMRMT 2018), 2018, 436
  • [4] Refinement Envelope Analysis for Small Failures of Rolling Bearing
    Zhao, Shushang
    Pan, Juanjuan
    [J]. MANUFACTURING SCIENCE AND TECHNOLOGY, PTS 1-8, 2012, 383-390 : 2622 - 2627
  • [5] Bearing faults identification and resonant band demodulation based on wavelet de-noising methods and envelope analysis
    Abdelrhman, Ahmed M.
    Kien, Yong Sei
    Leong, M. Salman
    Hee, Lim Meng
    Al-Obaidi, Salah M. Ali
    [J]. INTERNATIONAL CONFERENCE ON MATERIALS TECHNOLOGY AND ENERGY (ICMTE), 2017, 217
  • [6] Failure analysis of ball bearing in centrifugal pump using envelope and demodulation techniques
    Mishra, Lingaraj
    Kumar, Mrityunjay
    Chandrawanshi, M.L.
    [J]. Materials Today: Proceedings, 2022, 56 : 760 - 767
  • [7] A comparison of rolling element bearing stiffness calculation methods
    Wang, Zi
    [J]. ENGINEERING COMPUTATIONS, 2024, 41 (06) : 1507 - 1528
  • [8] Resonance-Based Nonlinear Demodulation Analysis Method of Rolling Bearing Fault
    Cui, Lingli
    Mo, Daiyi
    Wang, Huaqing
    Chen, Peng
    [J]. ADVANCES IN MECHANICAL ENGINEERING, 2013,
  • [9] Detection of bearing defects using Hilbert envelope analysis and fast kurtogram demodulation method
    Eddine, Rouabhia Chemes
    Slimane, Bouras
    [J]. JOURNAL OF ELECTRICAL SYSTEMS, 2020, 16 (01) : 92 - 104
  • [10] On the application of envelope-wavelet analysis in the fault diagnosis of rolling bearing
    Zhang, TX
    Guo, XJ
    Wang, Z
    [J]. PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9, 2005, : 1778 - 1782