Gearbox tooth cut fault diagnostics using acoustic emission and vibration sensors - A comparative

Yongzhi Qu, David He, Jae Yoon, Brandon Van Hecke, Eric Bechhoefer, Junda Zhu

Research output: Contribution to journalArticlepeer-review

109 Scopus citations

Abstract

In recent years, acoustic emission (AE) sensors and AE-based techniques have been developed and tested for gearbox fault diagnosis. In general, AE-based techniques require much higher sampling rates than vibration analysis-based techniques for gearbox fault diagnosis. Therefore, it is questionable whether an AE-based technique would give a better or at least the same performance as the vibration analysis-based techniques using the same sampling rate. To answer the question, this paper presents a comparative study for gearbox tooth damage level diagnostics using AE and vibration measurements, the first known attempt to compare the gearbox fault diagnostic performance of AE- and vibration analysis-based approaches using the same sampling rate. Partial tooth cut faults are seeded in a gearbox test rig and experimentally tested in a laboratory. Results have shown that the AE-based approach has the potential to differentiate gear tooth damage levels in comparison with the vibration-based approach. While vibration signals are easily affected by mechanical resonance, the AE signals show more stable performance.

Original languageEnglish (US)
Pages (from-to)1372-1393
Number of pages22
JournalSensors (Switzerland)
Volume14
Issue number1
DOIs
StatePublished - Jan 14 2014
Externally publishedYes

Keywords

  • Acoustic emission sensor
  • Diagnostics
  • Gearbox faults
  • Vibration sensor

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