Dynamical electric wire tomography: Time series approach

Djebar Baroudi; Jari Kaipio; Erkki Somersalo

doi:10.1088/0266-5611/14/4/003

Dynamical electric wire tomography: Time series approach

Djebar Baroudi, Jari Kaipio, Erkki Somersalo

VTT Technical Research Centre of Finland

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

26 Citations (Scopus)

Abstract

The inverse problem of estimating gas temperature distribution based on the measurement of resistances of thin metal filaments spanned across the gas flow is discussed. The estimation is based on the fact that the resistance of the filament material is a function of the temperature. The gas temperature is modelled as a time-dependent stochastic process, and the temperature estimation is performed by using Kalman filters. The proposed method is tested both with numerically-produced synthetic data and with experimental data.

Original language	English
Pages (from-to)	799-813
Journal	Inverse Problems
Volume	14
Issue number	4
DOIs	https://doi.org/10.1088/0266-5611/14/4/003
Publication status	Published - 1998
MoE publication type	A1 Journal article-refereed

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@article{da76b7a6c9e44d2c9023d53e89cfb61a,

title = "Dynamical electric wire tomography: Time series approach",

abstract = "The inverse problem of estimating gas temperature distribution based on the measurement of resistances of thin metal filaments spanned across the gas flow is discussed. The estimation is based on the fact that the resistance of the filament material is a function of the temperature. The gas temperature is modelled as a time-dependent stochastic process, and the temperature estimation is performed by using Kalman filters. The proposed method is tested both with numerically-produced synthetic data and with experimental data.",

author = "Djebar Baroudi and Jari Kaipio and Erkki Somersalo",

year = "1998",

doi = "10.1088/0266-5611/14/4/003",

language = "English",

volume = "14",

pages = "799--813",

journal = "Inverse Problems",

issn = "0266-5611",

publisher = "Institute of Physics IOP",

number = "4",

}

TY - JOUR

T1 - Dynamical electric wire tomography

T2 - Time series approach

AU - Baroudi, Djebar

AU - Kaipio, Jari

AU - Somersalo, Erkki

PY - 1998

Y1 - 1998

N2 - The inverse problem of estimating gas temperature distribution based on the measurement of resistances of thin metal filaments spanned across the gas flow is discussed. The estimation is based on the fact that the resistance of the filament material is a function of the temperature. The gas temperature is modelled as a time-dependent stochastic process, and the temperature estimation is performed by using Kalman filters. The proposed method is tested both with numerically-produced synthetic data and with experimental data.

AB - The inverse problem of estimating gas temperature distribution based on the measurement of resistances of thin metal filaments spanned across the gas flow is discussed. The estimation is based on the fact that the resistance of the filament material is a function of the temperature. The gas temperature is modelled as a time-dependent stochastic process, and the temperature estimation is performed by using Kalman filters. The proposed method is tested both with numerically-produced synthetic data and with experimental data.

U2 - 10.1088/0266-5611/14/4/003

DO - 10.1088/0266-5611/14/4/003

M3 - Article

SN - 0266-5611

VL - 14

SP - 799

EP - 813

JO - Inverse Problems

JF - Inverse Problems

IS - 4

ER -

Dynamical electric wire tomography: Time series approach

Abstract

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