Fault diagnosis of gear transmissions via optic Fiber Bragg Grating strain sensors

Lior Bachar, Renata Klein, Moshe Tur, Jacob Bortman

Research output: Contribution to journalArticlepeer-review

Abstract

Most of the diagnostics approaches for health monitoring of gear transmissions, to date, are based on vibration analysis. A comprehensive research referring to applications of optic Fiber Bragg Grating (FBG) strain sensors for gear diagnostics is presented. The paper opens with a detailed literature review about fault diagnosis of gear transmission based on strain measurements. It is shown that diagnosis of spur and helical gears is feasible and yields similar capabilities compared to acceleration analysis. A novel diagnostic methodology based on FBG strain sensors is developed, justified, and experimentally validated for both gear types at different operating conditions, e.g., speed and load, and for local faults of different severities. The proposed methodology covers all the diagnostics stages, starting with a unique flow of signal processing, examination of condition indicators and finally, a definition of a Health Indicator (HI).

Original languageAmerican English
Article number108629
JournalMechanical Systems and Signal Processing
Volume169
DOIs
StatePublished - 15 Apr 2022

Keywords

  • FBG strain sensors
  • Gear diagnostics
  • Helical gear
  • Spur gear
  • Tooth fault
  • Vibration signature

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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