Reaching millikelvin resolution in Raman distributed temperature sensing using image processing

Soto, Marcelo A.; Ramírez, J.A.; Thévenaz, Luc

doi:10.1117/12.2236934

Cited by 10 publications

(6 citation statements)

References 10 publications

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“…In the field of fiber optic sensing, contextual information has also been employed for temperature measurement [ 28 , 29 ]. Our previous work [ 22 ] addressed the contextual information in a limited extent, since the short-time fast Fourier transform (ST-FFT) employed in the feature extraction spreads only one second (this was the optimal window size after an intensive experimentation with shorter and longer window sizes for the ST-FFT, all of them leading to lower system performance).…”

Section: Introductionmentioning

confidence: 99%

A Novel Fiber Optic Based Surveillance System for Prevention of Pipeline Integrity Threats

Tejedor¹,

Macías-Guarasa

Martins³

et al. 2017

Sensors

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This paper presents a novel surveillance system aimed at the detection and classification of threats in the vicinity of a long gas pipeline. The sensing system is based on phase-sensitive optical time domain reflectometry (φ-OTDR) technology for signal acquisition and pattern recognition strategies for threat identification. The proposal incorporates contextual information at the feature level and applies a system combination strategy for pattern classification. The contextual information at the feature level is based on the tandem approach (using feature representations produced by discriminatively-trained multi-layer perceptrons) by employing feature vectors that spread different temporal contexts. The system combination strategy is based on a posterior combination of likelihoods computed from different pattern classification processes. The system operates in two different modes:(1) machine + activity identification, which recognizes the activity being carried out by a certain machine, and (2) threat detection, aimed at detecting threats no matter what the real activity being conducted is. In comparison with a previous system based on the same rigorous experimental setup, the results show that the system combination from the contextual feature information improves the results for each individual class in both operational modes, as well as the overall classification accuracy, with statistically-significant improvements.

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Section: Introductionmentioning

confidence: 99%

A Novel Fiber Optic Based Surveillance System for Prevention of Pipeline Integrity Threats

Tejedor¹,

Macías-Guarasa

Martins³

et al. 2017

Sensors

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“…In this approach, building a neural network for direct recognition of patterns in the form of a wave is proposed. A slightly different approach was applied in [23] for processing images of the Raman fiber optic sensors. The essence of the technique proposed by the authors was to combine one-dimensional Raman signals into a two-dimensional array in order to suppress noise and improve the signal itself during processing.…”

Section: Resultsmentioning

confidence: 99%

“…We write the result to the previously The value of ecg_points_all_blacks is a twodimensional matrix in which the first level is the line where the black points were. This line contains the coordinates of the Y axis for each black point, which have the following form: [12,26], [12,34], [18,23,32,40], 41, 46, 46, 46, 46, 46, 46, 46, where on the first line here are two black points with the coordinates 12 and 26; on the second line there are two black points with the coordinates 12 and 34. There are a number of black points like in [15][16][17].…”

Section: Building the Algorithm Of Image Processing In The Pythonmentioning

confidence: 99%

Methods of extracting electrocardiograms from electronic signals and images in the Python environment

Zholmagambetova¹,

Mazakov²,

Jomartova³

et al. 2020

Diagnostyka

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High-quality signal processing of an electrocardiogram (ECG) is an urgent problem in present day diagnostics for revealing dangerous signs of cardiovascular diseases and arrhythmias in patients. The used methods and programs of signal analysis and classification work with the arrays of points for mathematical modeling that must be extracted from an image or recording of an electrocardiogram. The aim of this work is developing a method of extracting images of ECG signals into a one-dimensional array. An algorithm is proposed based on sequential color processing operations and improving the image quality, masking and building a one-dimensional array of points using Python tools and libraries with open access. The results of testing samples from the ECG database and comparing images before and after processing show that the signal extraction accuracy is approximately 95 %. In addition, the presented application design is simple and easy to use. The proposed program for analyzing and processing the ECG data has a great potential in the future for the development of more complex software applications for automatic analyzing the data and determining arrhythmias or other pathologies.

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“…These sensors offer many advantages in comparison to standard discrete temperature sensors [5,6] including inherent immunity to electromagnetic fields and allowing remote, long distance temperature measurement in dangerous, radioactive and toxic environments [7,8]. In recent years, this type of system has been an intense area of research with the aim of enhancing the systems’ performance, whether by improving the spatial and temperature resolution [9,10,11,12] or maximizing the detection length [13].…”

Section: Introductionmentioning

confidence: 99%

Comparative Experimental Study of a High-Temperature Raman-Based Distributed Optical Fiber Sensor with Different Special Fibers

Laarossi

Quintela

López‐Higuera

2019

Sensors

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An experimental study of a high temperature distributed optical fiber sensor based on Raman Optical-Time-Domain-Reflectometry (ROTDR) (up to 450 °C) and optical fibers with different coatings (polyimide/carbon, copper, aluminum and gold) is presented. Analysis of the distributed temperature sensor (DTS) measurements determined the most appropriate optical fiber to be used in high temperature industrial environment over long periods of time. To demonstrate the feasibility of this DTS for an industrial application, an optical cable was designed with the appropriate optical fiber and it was hermetically sealed to provide the required mechanical resistance and isolate the fiber from environmental degradations. This cable was used to measure temperature up to 360 °C of an industrial furnace during 7 days.

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Reaching millikelvin resolution in Raman distributed temperature sensing using image processing

Cited by 10 publications

References 10 publications

A Novel Fiber Optic Based Surveillance System for Prevention of Pipeline Integrity Threats

A Novel Fiber Optic Based Surveillance System for Prevention of Pipeline Integrity Threats

Methods of extracting electrocardiograms from electronic signals and images in the Python environment

Comparative Experimental Study of a High-Temperature Raman-Based Distributed Optical Fiber Sensor with Different Special Fibers

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