The effects of the operating conditions and tooth fault on gear vibration signature

Lior Bachar, Ido Dadon, Renata Klein, Jacob Bortman

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

The dynamic response of gear transmissions holds essential information for the recognition of faults in the system. A realistic nonlinear dynamic model is used to predict the vibration regime of spur gear transmissions. This model was validated experimentally for both healthy and damaged conditions. The model allows to simulate each combination of rotational speed, load and surface roughness, and to isolate its influence on the dynamic response. An experimental study would be limited due to the large amount of cases to consider. The simulated surface roughness enables a more realistic evaluation of the condition indicators robustness. The first part of the study examines the effects of the operating conditions, e.g. speed, load and surface roughness, on the vibration signature of a healthy gearbox. It was found that the levels at the gear mesh frequencies (GMF) have a strong dependency on speed and load. The energy of the frequency modulation (FM) sidebands depends mainly on speed but hardly affected by load. The second part of the study examines the manifestation of a single tooth face fault in the vibration signature. Based on the conclusions of the first part, the analysis was focused on the synchronous average spectrum and the difference signal. The investigation using hundreds of simulations shed a new light on the physical phenomena in the dynamic response - the fault's expression is amplified around the natural frequencies of the gears. Based on this insight, it was found that the analysis of the spectrum around the natural frequencies allows the detection of incipient faults that cannot be detected using the analysis of the difference signal. The understanding of the physical phenomena, based on the dynamic model, enabled the generalization of this new finding.

Original languageEnglish
Article number107508
JournalMechanical Systems and Signal Processing
Volume154
DOIs
StatePublished - 1 Jun 2021

Keywords

  • Condition monitoring
  • Gear diagnostics
  • Gear model
  • Spur gear
  • Tooth fault
  • Vibration signature

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Civil and Structural Engineering
  • Aerospace Engineering
  • Mechanical Engineering
  • Computer Science Applications

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