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Journal of Mechanical Science and Technology

, Volume 33, Issue 1, pp 95–108 | Cite as

Diagnosing axle box bearings’ fault using a refined phase difference correction method

  • Qing Xiong
  • Weihua Zhang
  • Yanhai Xu
  • Yiqiang Peng
  • Pengyi Deng
Article
  • 1 Downloads

Abstract

The wheelset treads and axle box bearings of railway vehicles often suffer from fatigue failures. Their regular maintenance highly depends on manual off-line inspection with low working efficiency and poor precision for early failure detection. This study proposes a fault diagnosis method by band-pass filtering and by enveloping the accelerations collected from the axle box bearing on the underfloor wheelset lathe to improve the maintenance efficiency. This process is followed by the refined phase difference correction using the four-term third derivative Nuttall-windowed fast Fourier transform (RPNWF) to extract accurate amplitudes of the fault characteristic frequency and its harmonics. The integration scheme, work flow, and application examples of the fault diagnosis system are presented. Simulation analysis and results show that the developed method can achieve effective diagnosis of the fault and fault degree of axle box bearings as well as yield better correction accuracy than the commonly used discrete spectrum correction methods.

Keywords

Axle box bearing Fault diagnosis Underfloor wheelset lathe Refined phase difference correction method Nuttall-windowed FFT 

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Copyright information

© The Korean Society of Mechanical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Qing Xiong
    • 1
    • 2
    • 3
  • Weihua Zhang
    • 4
  • Yanhai Xu
    • 1
    • 2
    • 3
  • Yiqiang Peng
    • 1
    • 2
    • 3
  • Pengyi Deng
    • 3
  1. 1.Key Laboratory of Fluid and Power Machinery, Ministry of EducationXihua UniversityChengdu, SichuanChina
  2. 2.Key Laboratory of Automotive Measurement, Control and SafetyXihua UniversityChengdu, SichuanChina
  3. 3.School of Automobile and TransportationXihua UniversityChengdu, SichuanChina
  4. 4.State Key Laboratory of Traction PowerSouthwest Jiaotong UniversityChengdu, SichuanChina

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