Detection and diagnosis of gear-tooth pitting damage by the Average-Log-Ratio ALR algorithm. (1st March 2023)

• Record Type: Journal Article
• Authors: Mark, William D.; Wagner, Matthew E.; Isaacson, Aaron C.
• Is Part Of: Mechanical systems and signal processing. Volume 186(2023)
• Publication Date: 2023-03-01
• Subjects: Gear damage -- Pitting -- Remote detection -- Transmission error -- Average log ratio; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2022.109911
• Languages: English
• ISSNs: 0888-3270

Abstract

Highlights: Gear tooth pitting detected by Average-Log-Ratio (ALR) Pit size governs rotational-harmonic amplitudes. Use of ALR eliminates transmission path effects. 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.