Comparative case studies on ring gear fault diagnosis of planetary gearboxes using vibrations and acoustic emissions

被引:0
|
作者
Leaman, Felix [1 ]
Baltes, Ralph [1 ]
Clausen, Elisabeth [1 ]
机构
[1] Rhein Westfal TH Aachen, Inst Adv Min Technol, Wullnerstr 2, D-52062 Aachen, Germany
来源
关键词
LOW-SPEED BEARINGS; SPUR GEARS;
D O I
10.1007/s10010-021-00451-4
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The analysis of vibrations and acoustic emissions (AE) are two recognized non-destructive techniques used for machine fault diagnosis. In recent years, the two techniques have been comparatively evaluated by different researchers with experimental tests. Several evaluations have shown that the AE analysis has a higher potential than the vibration analysis for fault diagnosis of mechanical components for certain cases. However, the distance between the AE sensor and the fault is an important factor that can considerably decrease the potential to detect damage and that has not been sufficiently investigated. Moreover, the comparisons have not yet addressed conditions of slow speed that for example are usual for wind turbine gearboxes. Therefore, in this paper we present two comparative case studies that address both topics. Both case studies consider planetary gearboxes with faults in their ring gears. The first case study corresponds to a small planetary gearbox in which the AE and vibration sensors were installed together at two different positions. The second case study corresponds to a full-size wind turbine gearbox in which three pairs of AE and vibration sensors were installed on the outside of the ring gear from a low-speed planetary stage. The results of the evaluations demonstrate the important influence of the distance between sensors and fault. Despite this, the good results from the AE analysis indicate that this technique should be considered as an important complement to the traditional vibration analysis. The main contribution of this paper is comparing AE and vibration analysis by using not only experimental data from a small planetary gearbox but also from a full-size wind turbine gearbox. The comparison addresses the topics of proximity of the sensor to the fault and low-speed conditions.
引用
收藏
页码:619 / 628
页数:10
相关论文
共 50 条
  • [21] Investigation on Mesh and Sideband Vibrations of Helical Planetary Ring Gear Using Structure, Excitation and Deformation Symmetries
    Shi-Yu Wang
    Chanannipat Meesap
    Chinese Journal of Mechanical Engineering, 2018, 31 (06) : 55 - 67
  • [22] Investigation on Mesh and Sideband Vibrations of Helical Planetary Ring Gear Using Structure, Excitation and Deformation Symmetries
    Shi-Yu Wang
    Chanannipat Meesap
    Chinese Journal of Mechanical Engineering, 2018, 31
  • [23] Investigation on Mesh and Sideband Vibrations of Helical Planetary Ring Gear Using Structure, Excitation and Deformation Symmetries
    Wang, Shi-Yu
    Meesap, Chanannipat
    CHINESE JOURNAL OF MECHANICAL ENGINEERING, 2018, 31 (01)
  • [24] Fault level diagnosis for planetary gearboxes using hybrid kernel feature selection and kernel Fisher discriminant analysis
    Zhiliang Liu
    Jian Qu
    Ming J. Zuo
    Hong-bing Xu
    The International Journal of Advanced Manufacturing Technology, 2013, 67 : 1217 - 1230
  • [25] Fault level diagnosis for planetary gearboxes using hybrid kernel feature selection and kernel Fisher discriminant analysis
    Liu, Zhiliang
    Qu, Jian
    Zuo, Ming J.
    Xu, Hong-bing
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2013, 67 (5-8): : 1217 - 1230
  • [26] Meshing frequency modulation assisted empirical wavelet transform for fault diagnosis of wind turbine planetary ring gear
    Kong, Yun
    Wang, Tianyang
    Chu, Fulei
    RENEWABLE ENERGY, 2019, 132 : 1373 - 1388
  • [27] Motor current signal analysis using deep neural networks for planetary gear fault diagnosis
    Li, Feng
    Pang, Xinyu
    Yang, Zhaojian
    MEASUREMENT, 2019, 145 : 45 - 54
  • [28] Model-Based Fault Diagnosis of a Planetary Gear: A Novel Approach Using Transmission Error
    Park, Jungho
    Ha, Jong Moon
    Oh, Hyunseok
    Youn, Byeng D.
    Choi, Joo-Ho
    Kim, Nam Ho
    IEEE TRANSACTIONS ON RELIABILITY, 2016, 65 (04) : 1830 - 1841
  • [29] Acoustic signal analysis for gear fault diagnosis using a uniform circular microphone array
    Li, Chi
    Chen, Changzheng
    Gu, Xiaojiao
    JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2023, 37 (11) : 5583 - 5596
  • [30] Acoustic signal analysis for gear fault diagnosis using a uniform circular microphone array
    Chi Li
    Changzheng Chen
    Xiaojiao Gu
    Journal of Mechanical Science and Technology, 2023, 37 : 5583 - 5596