Abstract
Recently the author of this article proposed a new signal processing algorithm for an all fiber white light interferometer. In this article, an all fiber white light interferometric absolute temperature measurement system is presented using the previously proposed signal processing algorithm. Stability and absolute temperature measurement were demonstrated. These two tests demonstrated the feasibility of absolute temperature measurement with an accuracy of 0.015 fringe and 0.0005 fringe, respectively. A hysteresis test from 373K to 873K was also presented. Finally, robustness of the sensor system towards laser diode temperature drift, AFMZI temperature drift and PZT non-linearity was demonstrated.
Highlights
In order to fully utilize the capability of fiber optic sensors, a fiber optic sensor with a new sensing principle termed as “White Light Interferometry” (WLI) was developed [1]
In 1994 Kaddu demonstrated the WLI absolute temperature measurement system over the temperature range of 293K ~ 343K, but in that scheme a Fabry-Perot type scanning interferometer was formed by a cleaved end of single mode fiber and a planar mirror, which was driven by a computercontrolled Nanomover [18]
The feasibility of absolute temperature measurement using all fiber white light interferometry was demonstrated in this article
Summary
In order to fully utilize the capability of fiber optic sensors, a fiber optic sensor with a new sensing principle termed as “White Light Interferometry” (WLI) was developed [1]. White light interferometry has the potential to identify the interference fringe order from the output pattern (fringe scan) of an interferometer [2], but for most broadband light sources, the visibility of fringes varies so slowly in the vicinity of the zero order fringe peak that a high signal-tonoise ratio (SNR) is required to identify the zero order fringe peak through the inspection of its magnitude. This difficulty has inhibited the application of fiber optic sensors using WLI for absolute. This article demonstrates the robustness of the proposed sensor system
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