Optimisation of a tomography sensor for imaging of temperature in a gas turbine engine

Michael P. Wood; Krikor B. Ozanyan

doi:10.1109/ICSENS.2013.6688350

Optimisation of a tomography sensor for imaging of temperature in a gas turbine engine

Michael P. Wood, Krikor B. Ozanyan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Abstract

We present a numerical study of tomographic reconstruction of gas temperature distributions from synthetic data of laser absorption measurements through the imaging plane. A mathematical expression which predicts the reconstruction error as a function of the beam configuration is developed, and a global optimization scheme is employed to minimize this predicted error subject to a constraint on the maximum number of permitted beams. This optimization methodology is applied to an annular measurement region and compared to conventional regular fan-beam arrangements in temperature tomography simulations. Synthetic data generated over the optimized beams led to temperature reconstructions with superior accuracy, provided Tikhonov inversion was used as the method of reconstruction. © 2013 IEEE.

Original language	English
Title of host publication	IEEE SENSORS 2013 - Proceedings\|IEEE SENSORS - Proc.
DOIs	https://doi.org/10.1109/ICSENS.2013.6688350
Publication status	Published - 2013
Event	12th IEEE SENSORS 2013 Conference - Baltimore, MD, United States Duration: 4 Nov 2013 → 6 Nov 2013 http://www.scopus.com/inward/record.url?eid=2-s2.0-84893920835&partnerID=40&md5=3d9e837f1d5ffb3b4c819fcb291758c6

Conference

Conference	12th IEEE SENSORS 2013 Conference
Country/Territory	United States
City	Baltimore, MD
Period	4/11/13 → 6/11/13
Internet address	http://www.scopus.com/inward/record.url?eid=2-s2.0-84893920835&partnerID=40&md5=3d9e837f1d5ffb3b4c819fcb291758c6

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title = "Optimisation of a tomography sensor for imaging of temperature in a gas turbine engine",

abstract = "We present a numerical study of tomographic reconstruction of gas temperature distributions from synthetic data of laser absorption measurements through the imaging plane. A mathematical expression which predicts the reconstruction error as a function of the beam configuration is developed, and a global optimization scheme is employed to minimize this predicted error subject to a constraint on the maximum number of permitted beams. This optimization methodology is applied to an annular measurement region and compared to conventional regular fan-beam arrangements in temperature tomography simulations. Synthetic data generated over the optimized beams led to temperature reconstructions with superior accuracy, provided Tikhonov inversion was used as the method of reconstruction. {\textcopyright} 2013 IEEE.",

author = "Wood, {Michael P.} and Ozanyan, {Krikor B.}",

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AU - Wood, Michael P.

AU - Ozanyan, Krikor B.

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N2 - We present a numerical study of tomographic reconstruction of gas temperature distributions from synthetic data of laser absorption measurements through the imaging plane. A mathematical expression which predicts the reconstruction error as a function of the beam configuration is developed, and a global optimization scheme is employed to minimize this predicted error subject to a constraint on the maximum number of permitted beams. This optimization methodology is applied to an annular measurement region and compared to conventional regular fan-beam arrangements in temperature tomography simulations. Synthetic data generated over the optimized beams led to temperature reconstructions with superior accuracy, provided Tikhonov inversion was used as the method of reconstruction. © 2013 IEEE.

AB - We present a numerical study of tomographic reconstruction of gas temperature distributions from synthetic data of laser absorption measurements through the imaging plane. A mathematical expression which predicts the reconstruction error as a function of the beam configuration is developed, and a global optimization scheme is employed to minimize this predicted error subject to a constraint on the maximum number of permitted beams. This optimization methodology is applied to an annular measurement region and compared to conventional regular fan-beam arrangements in temperature tomography simulations. Synthetic data generated over the optimized beams led to temperature reconstructions with superior accuracy, provided Tikhonov inversion was used as the method of reconstruction. © 2013 IEEE.

U2 - 10.1109/ICSENS.2013.6688350

DO - 10.1109/ICSENS.2013.6688350

M3 - Conference contribution

SN - 9781467346405

BT - IEEE SENSORS 2013 - Proceedings|IEEE SENSORS - Proc.

T2 - 12th IEEE SENSORS 2013 Conference

Y2 - 4 November 2013 through 6 November 2013

ER -

Optimisation of a tomography sensor for imaging of temperature in a gas turbine engine

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