Compressive sensing for spatial and spectral flame diagnostics

Abstract Combustion research requires the use of state of the art diagnostic tools, including high energy lasers and gated, cooled CCDs. However, these tools may present a cost barrier for laboratories with limited resources. While the cost of high energy lasers and low-noise cameras continues to de...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	David J. Starling, Joseph Ranalli
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/77229f2a050e4a318720fd64bf2cc324
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:77229f2a050e4a318720fd64bf2cc324
record_format	dspace
spelling	oai:doaj.org-article:77229f2a050e4a318720fd64bf2cc3242021-12-02T11:40:15ZCompressive sensing for spatial and spectral flame diagnostics10.1038/s41598-018-20798-z2045-2322https://doaj.org/article/77229f2a050e4a318720fd64bf2cc3242018-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-20798-zhttps://doaj.org/toc/2045-2322Abstract Combustion research requires the use of state of the art diagnostic tools, including high energy lasers and gated, cooled CCDs. However, these tools may present a cost barrier for laboratories with limited resources. While the cost of high energy lasers and low-noise cameras continues to decline, new imaging technologies are being developed to address both cost and complexity. In this paper, we analyze the use of compressive sensing for flame diagnostics by reconstructing Raman images and calculating mole fractions as a function of radial depth for a highly strained, N2-H2 diffusion flame. We find good agreement with previous results, and discuss the benefits and drawbacks of this technique.David J. StarlingJoseph RanalliNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-9 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q David J. Starling Joseph Ranalli Compressive sensing for spatial and spectral flame diagnostics
description	Abstract Combustion research requires the use of state of the art diagnostic tools, including high energy lasers and gated, cooled CCDs. However, these tools may present a cost barrier for laboratories with limited resources. While the cost of high energy lasers and low-noise cameras continues to decline, new imaging technologies are being developed to address both cost and complexity. In this paper, we analyze the use of compressive sensing for flame diagnostics by reconstructing Raman images and calculating mole fractions as a function of radial depth for a highly strained, N2-H2 diffusion flame. We find good agreement with previous results, and discuss the benefits and drawbacks of this technique.
format	article
author	David J. Starling Joseph Ranalli
author_facet	David J. Starling Joseph Ranalli
author_sort	David J. Starling
title	Compressive sensing for spatial and spectral flame diagnostics
title_short	Compressive sensing for spatial and spectral flame diagnostics
title_full	Compressive sensing for spatial and spectral flame diagnostics
title_fullStr	Compressive sensing for spatial and spectral flame diagnostics
title_full_unstemmed	Compressive sensing for spatial and spectral flame diagnostics
title_sort	compressive sensing for spatial and spectral flame diagnostics
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/77229f2a050e4a318720fd64bf2cc324
work_keys_str_mv	AT davidjstarling compressivesensingforspatialandspectralflamediagnostics AT josephranalli compressivesensingforspatialandspectralflamediagnostics
_version_	1718395652920049664

Compressive sensing for spatial and spectral flame diagnostics

Ejemplares similares