Bearing fault detection and fault size estimation using fiber-optic sensors

Hasib Alian, Shlomi Konforty, Uri Ben-Simon, Renata Klein, Moshe Tur, Jacob Bortman

Research output: Contribution to journalArticlepeer-review

45 Scopus citations


Health monitoring of rotating machinery is commonly based on vibration signals. Instead, this pioneering research provides bearing diagnostics using strain measurements, obtained from Fiber Bragg Grating (FBG) fiber-optic sensors. Besides detection of the damage via spectral data, these optical sensors also allow the estimation of damage severity through the direct and accurate measurement of the damage size of small spalls in the bearing races, an essential capability for the prognosis of remaining useful life. FBG sensors are small and can be easily placed in the immediate proximity of the bearing or even embedded inside it, thereby ensuring much enhanced signal-to-noise ratio through the minimizing transmission path effects from remote disturbances. These ball-bearing related diagnostic capabilities of FBG sensors are demonstrated via seeded tests, as well as by means of extended monitoring of bearings during fatigue endurance tests. Sensitivity to FBG sensor location is studied, showing acceptable values at all housing measuring points around the bearing. Fiber-optic sensors appear to have promising diagnostic potential for spall-like faults in both the outer and inner races of ball bearings with a very good discrimination power.

Original languageEnglish
Pages (from-to)392-407
Number of pages16
JournalMechanical Systems and Signal Processing
StatePublished - 1 Apr 2019


  • Bragg grating
  • Fault diagnosis
  • Fiber
  • Rolling element bearing
  • Spall size

ASJC Scopus subject areas

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


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