Quantitative Performance Comparison of Thermal Structure Function Computations

The determination of thermal structure functions from transient thermal measurements using network identification by deconvolution is a delicate process as it is sensitive to noise in the measured data. Great care must be taken not only during the measurement process but also to ensure a stable impl...

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Autores principales:	Nils J. Ziegeler, Peter W. Nolte, Stefan Schweizer
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	compact thermal models thermal impedance transient thermal measurement time constant spectrum thermal structure function network identification by deconvolution Technology T
Acceso en línea:	https://doaj.org/article/cadff9897c3749d7add44f38bf200e1d
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spelling	oai:doaj.org-article:cadff9897c3749d7add44f38bf200e1d2021-11-11T15:52:32ZQuantitative Performance Comparison of Thermal Structure Function Computations10.3390/en142170681996-1073https://doaj.org/article/cadff9897c3749d7add44f38bf200e1d2021-10-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/7068https://doaj.org/toc/1996-1073The determination of thermal structure functions from transient thermal measurements using network identification by deconvolution is a delicate process as it is sensitive to noise in the measured data. Great care must be taken not only during the measurement process but also to ensure a stable implementation of the algorithm. In this paper, a method is presented that quantifies the absolute accuracy of network identification on the basis of different test structures. For this purpose, three measures of accuracy are defined. By these metrics, several variants of network identification are optimized and compared against each other. Performance in the presence of noise is analyzed by adding Gaussian noise to the input data. In the cases tested, the use of a Bayesian deconvolution provided the best results.Nils J. ZiegelerPeter W. NolteStefan SchweizerMDPI AGarticlecompact thermal modelsthermal impedancetransient thermal measurementtime constant spectrumthermal structure functionnetwork identification by deconvolutionTechnologyTENEnergies, Vol 14, Iss 7068, p 7068 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	compact thermal models thermal impedance transient thermal measurement time constant spectrum thermal structure function network identification by deconvolution Technology T
spellingShingle	compact thermal models thermal impedance transient thermal measurement time constant spectrum thermal structure function network identification by deconvolution Technology T Nils J. Ziegeler Peter W. Nolte Stefan Schweizer Quantitative Performance Comparison of Thermal Structure Function Computations
description	The determination of thermal structure functions from transient thermal measurements using network identification by deconvolution is a delicate process as it is sensitive to noise in the measured data. Great care must be taken not only during the measurement process but also to ensure a stable implementation of the algorithm. In this paper, a method is presented that quantifies the absolute accuracy of network identification on the basis of different test structures. For this purpose, three measures of accuracy are defined. By these metrics, several variants of network identification are optimized and compared against each other. Performance in the presence of noise is analyzed by adding Gaussian noise to the input data. In the cases tested, the use of a Bayesian deconvolution provided the best results.
format	article
author	Nils J. Ziegeler Peter W. Nolte Stefan Schweizer
author_facet	Nils J. Ziegeler Peter W. Nolte Stefan Schweizer
author_sort	Nils J. Ziegeler
title	Quantitative Performance Comparison of Thermal Structure Function Computations
title_short	Quantitative Performance Comparison of Thermal Structure Function Computations
title_full	Quantitative Performance Comparison of Thermal Structure Function Computations
title_fullStr	Quantitative Performance Comparison of Thermal Structure Function Computations
title_full_unstemmed	Quantitative Performance Comparison of Thermal Structure Function Computations
title_sort	quantitative performance comparison of thermal structure function computations
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/cadff9897c3749d7add44f38bf200e1d
work_keys_str_mv	AT nilsjziegeler quantitativeperformancecomparisonofthermalstructurefunctioncomputations AT peterwnolte quantitativeperformancecomparisonofthermalstructurefunctioncomputations AT stefanschweizer quantitativeperformancecomparisonofthermalstructurefunctioncomputations
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Quantitative Performance Comparison of Thermal Structure Function Computations

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