Fiber Bragg grating microphone system for condition-based maintenance of industrial facilities

D. Tosi, M. Olivero, G. Perrone, A. Vallan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a multipoint fiber Bragg grating (FBG) sensing system operating as a precision microphone. This instrument aims to become the best performing technology for condition-based maintenance (CBM) of critical elements, like ball bearings and cogwheels, embedded in industrial manufacturing machineries. The system architecture is based on the simple matched-laser principle, leading to a low-cost and high-sensitivity system, operating in time and wavelength multiplexing mode. Then, heavy signal processing is applied, providing an outstanding performance improvement of 59 dB in terms of signal-to-noise ratio. A demonstration of condition-based maintenance operation has been performed using standard models of ball bearing sound spectra. Compared to traditional microphones applied to CBM, the signal processing-powered FBG system provides remarkable advantages in terms of sensitivity and rejection of environment noise, providing an improvement of cost-effectiveness of CBM.

Original languageEnglish
Title of host publication21st International Conference on Optical Fiber Sensors
DOIs
Publication statusPublished - Jun 9 2011
Externally publishedYes
Event21st International Conference on Optical Fiber Sensors - Ottawa, ON, Canada
Duration: May 15 2011May 19 2011

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7753
ISSN (Print)0277-786X

Other

Other21st International Conference on Optical Fiber Sensors
CountryCanada
CityOttawa, ON
Period5/15/115/19/11

Keywords

  • Fiber Bragg grating (FBG)
  • condition-based maintenance (CBM)
  • fiber optic sensors (FOS)
  • optical microphone

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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