Detection and diagnosis of gear-tooth pitting damage by the Average-Log-Ratio ALR algorithm

William D. Mark, Matthew E. Wagner, Aaron C. Isaacson

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Computation of the Average-Log-Ratio (ALR) gear-damage detection algorithm is carried out using accelerometer recordings of the vibration response from a spur-gear-pair pitting test. ALR computed from gear rotational-harmonic amplitudes up to the fifth tooth-meshing harmonic shows monotonically increasing ALR with increasing pitting damage. ALR computations using rotational-harmonic amplitudes between adjacent tooth-meshing harmonics show maximum ALR values moving to lower rotational- harmonic ranges with increasing radial pit size, in agreement with an earlier-derived analytical relationship between radial pit size and transmission-error rotational-harmonic amplitudes. The final rotational-harmonic range with maximum ALR value is in good agreement with that predicted analytically from the observed final pit size, thereby providing additional experimental confirmation of this analytically derived relationship.

Original languageEnglish (US)
Article number109911
JournalMechanical Systems and Signal Processing
Volume186
DOIs
StatePublished - Mar 1 2023

All Science Journal Classification (ASJC) codes

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

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