Publication

Raman-Assisted Brillouin Distributed Temperature Sensor over 100 km featuring 2 meter Resolution and 1.2°C Uncertainty

Luc Thévenaz
2012
Journal Articles

Abstract

Raman assistance in distributed sensors based on Brillouin Optical Time-Domain Analysis (BOTDA) can significantly extend the measurement distance. In this work we have developed a 2 meter resolution long-range Brillouin distributed sensor that reaches 100 km using first-order Raman assistance. The estimated uncertainty in temperature discrimination is 1.2°C, even for the position of worst contrast. The parameters used in the experiment are supported by a simple analytical model of the required values, considering the main limitations of the setup.

Official source

https://infoscience.epfl.ch/entities/publication/d0519f95-1245-46ae-bf8c-059310e80d0f

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Luc Thévenaz
2012
Journal Articles

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/d0519f95-1245-46ae-bf8c-059310e80d0f

About this result

Related concepts (5)

Measurement uncertainty

In metrology, measurement uncertainty is the expression of the statistical dispersion of the values attributed to a measured quantity. All measurements are subject to uncertainty and a measurement result is complete only when it is accompanied by a statement of the associated uncertainty, such as the standard deviation. By international agreement, this uncertainty has a probabilistic basis and reflects incomplete knowledge of the quantity value. It is a non-negative parameter.

Uncertainty quantification

Uncertainty quantification (UQ) is the science of quantitative characterization and estimation of uncertainties in both computational and real world applications. It tries to determine how likely certain outcomes are if some aspects of the system are not exactly known. An example would be to predict the acceleration of a human body in a head-on crash with another car: even if the speed was exactly known, small differences in the manufacturing of individual cars, how tightly every bolt has been tightened, etc.

Propagation of uncertainty

In statistics, propagation of uncertainty (or propagation of error) is the effect of variables' uncertainties (or errors, more specifically random errors) on the uncertainty of a function based on them. When the variables are the values of experimental measurements they have uncertainties due to measurement limitations (e.g., instrument precision) which propagate due to the combination of variables in the function. The uncertainty u can be expressed in a number of ways. It may be defined by the absolute error Δx.

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