Fault Detection of Planetary Gears Based on Signal Space Constellations

  • Maite Martincorena‐arraiza
  • , Carlos A. De La Cruz Blas
  • , Antonio Lopez‐martin
  • , Cristián Molina Vicuña
  • , Ignacio R. Matías

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

A new method to process the vibration signal acquired by an accelerometer placed in a planetary gearbox housing is proposed, which is useful to detect potential faults. The method is based on the phenomenological model and consists of the projection of the healthy vibration signals onto an orthonormal basis. Low pass components representation and Gram–Schmidt’s method are conveniently used to obtain such a basis. Thus, the measured signals can be represented by a set of scalars that provide information on the gear state. If these scalars are within a predefined range, then the gear can be diagnosed as correct; in the opposite case, it will require further evaluation. The method is validated using measured vibration signals obtained from a laboratory test bench.

Original languageEnglish
Article number366
JournalSensors
Volume22
Issue number1
DOIs
Publication statusPublished - 1 Jan 2022
Externally publishedYes

Keywords

  • Fault detection
  • Planetary gearbox
  • Vibration signal processing

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