Abstract
Based on spectral reflection characteristics of chirped FBGs, a demodulation method for complex temperature fields is proposed in this paper. Relationships between the reflective spectrums and the temperatures are investigated through theoretical analyses. Testing results are acquired from a FBG sensing model which is designed according to the newly-developed method. A simulation to get the relationships between reflective spectrums and temperatures is set which shows that this demodulation method is feasible and its demodulation precision is beyond +/−1°C. The method provides a new method for analyzing complex temperature fields.
Highlights
FBG sensors are widely used to monitor the safety of petro chemistry industry, bridges and large equipments owing to their considerable advantage such as antiinterference, wavelength encoding and so on
How to detect the Bragg tiny wavelength-shift is a major technology for FBG sensor in engineering projects
The curve of temperature-spectrum width from the common FBG is good within a wide temperature range, but affected by the crosstalk of sidelopes, there is fluctuating or even obvious missed orders in the reflective spectrums
Summary
FBG sensors are widely used to monitor the safety of petro chemistry industry, bridges and large equipments owing to their considerable advantage such as antiinterference, wavelength encoding and so on. How to detect the Bragg tiny wavelength-shift is a major technology for FBG sensor in engineering projects. Many conventional strategies such as edge-wave based on tunable laser, tunable Fabry-Derot filter or unbalance. Above methods assume that FBG was loaded under uniform temperature field, and the demodulator should lock wavelength-shift accurately and process optical signal. Sensing systems based on above methods become complex, because of having some loss of accuracy for measuring imperfect temperature fields. A novel demodulation method for complex temperature fields is proposed, a spectral reflection characteristic of chirped FBGs is analyzed intensively, an FBG sensing model using professional software is designed and this demodulation scheme by numerical simulation is verified
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