Compressive sensing for spatial and spectral flame diagnostics

David J. Starling; Joseph Ranalli

doi:10.1038/s41598-018-20798-z

Compressive sensing for spatial and spectral flame diagnostics

David J. Starling, Joseph Ranalli

Penn State Hazleton

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

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.

Original language	English (US)
Article number	2556
Journal	Scientific reports
Volume	8
Issue number	1
DOIs	https://doi.org/10.1038/s41598-018-20798-z
State	Published - Dec 1 2018

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Compressive sensing for spatial and spectral flame diagnostics

Abstract

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