Demodulating interferometric and FBG sensors in the spectral domain

Daniele Inaudi, Daniele Posenato, Branko Glisic, Jeff Miller, Todd Haber, Tom Graver

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

Long-gauge SOFO® sensors have been in use for the last 10 years for the monitoring of civil, geotechnical, oil & Fiber optic sensing systems are increasingly recognized as a very attractive choice for structural health monitoring. Moving form demonstration project to industrial applications requires an integrated approach where the most appropriate technologies are combined to meet the user's requirements. In this context it is often necessary and desirable to combine different sensing technologies in the same project. A bridge-monitoring project might for example require long-gauge interferometric sensors to monitor the concrete deck, interferometric inclinometers for the piles and fiber Bragg grating sensors for the monitoring of the strains in the steel beams and for measuring temperatures. Although fiber optic sensors relying on different technologies can easily be combined at the packaging and cable levels, they often require dedicated instruments to be demodulated. A unified demodulation system would therefore be very attractive. This paper describes a technique relying on the analysis of reflected spectra and allowing the demodulation of interferometric (Michelson or Faby-Perot) sensors and fiber Bragg grating sensors with a single measurement system. It also compares the obtained performance in terms of resolution and dynamic range with the available dedicated systems.

Original languageEnglish (US)
Article number09
Pages (from-to)70-75
Number of pages6
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5758
DOIs
StatePublished - 2005
Externally publishedYes
EventSmart Structures and Materials 2005 - Smart Sensor Technology and Measurement Systems - San Diego, CA, United States
Duration: Mar 7 2005Mar 9 2005

All Science Journal Classification (ASJC) codes

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

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