Total Variation Deconvolution of Raman Distributed Temperature Sensing Signals

Pelegrin, Jessé de; Bazzo, João Paulo; Costa, Igor Brutkowski Vieira da; Martelli, Cícero; Pipa, Daniel Rodrigues; Silva, Jean Carlos Cardozo da

doi:10.1109/imoc43827.2019.9317415

2019 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC) 2019

DOI: 10.1109/imoc43827.2019.9317415

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Total Variation Deconvolution of Raman Distributed Temperature Sensing Signals

Jessé de Pelegrin

João Paulo Bazzo

Igor Brutkowski Vieira da Costa

et al.

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2022

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Improving the Metrological Characteristics of a Fiber-Optic Temperature Sensor by Effective Signal Processing Methods

Ershov

2022

HoBMSTU.SIE

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Signal processing in a fiber optic temperature sensor has a major impact on the metrological performance of the instrument. Therefore, continuous improvement of the signal processing algorithm is an important aspect of remaining competitive. Using a fiber-optic temperature sensor based on the Raman effect manufactured by Keepline LLC, it is shown how the application of effective signal processing methods can significantly reduce the instrument error. A fiber 8258 m long was used as a sensitive element, the spatial resolution of the instrument was 2 m. It is found that the noise in the signal is distributed according to the normal law. Measurements were made at instrument temperatures of 25.95 and 44.73 °C. Using linear regression analysis, it was found that heating the instrument causes a slope of the thermogram, which needs to be corrected. A logarithmic function was used to correct the thermogram. Thus, it was possible to reduce the range of temperature values along the length of the fiber from 3.47 to 2.35 °C, and RMS from 0.579 to 0.392 °C. In addition, the dependence of the transient process on the heating of the instrument is given and recommendations for adjusting the calibration coefficients are provided

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Improving the Metrological Characteristics of a Fiber-Optic Temperature Sensor by Effective Signal Processing Methods

Ershov

2022

HoBMSTU.SIE

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show abstract

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Total Variation Deconvolution of Raman Distributed Temperature Sensing Signals

Cited by 1 publication

References 10 publications

Improving the Metrological Characteristics of a Fiber-Optic Temperature Sensor by Effective Signal Processing Methods

Improving the Metrological Characteristics of a Fiber-Optic Temperature Sensor by Effective Signal Processing Methods

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