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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| Format: | Article |
| Language: | English |
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MDPI AG
2021-10-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/21/7068 |
| _version_ | 1797512597232156672 |
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| author | Nils J. Ziegeler Peter W. Nolte Stefan Schweizer |
| author_facet | Nils J. Ziegeler Peter W. Nolte Stefan Schweizer |
| author_sort | Nils J. Ziegeler |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T06:04:02Z |
| format | Article |
| id | doaj.art-cadff9897c3749d7add44f38bf200e1d |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T06:04:02Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-cadff9897c3749d7add44f38bf200e1d2023-11-22T20:43:04ZengMDPI AGEnergies1996-10732021-10-011421706810.3390/en14217068Quantitative Performance Comparison of Thermal Structure Function ComputationsNils J. Ziegeler0Peter W. Nolte1Stefan Schweizer2Faculty of Electrical Engineering, South Westphalia University of Applied Sciences, 59494 Soest, GermanyFraunhofer Application Center for Inorganic Phosphors, Branch Lab of Fraunhofer Institute for Microstructure of Materials IMWS, 59494 Soest, GermanyFaculty of Electrical Engineering, South Westphalia University of Applied Sciences, 59494 Soest, GermanyThe 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.https://www.mdpi.com/1996-1073/14/21/7068compact thermal modelsthermal impedancetransient thermal measurementtime constant spectrumthermal structure functionnetwork identification by deconvolution |
| spellingShingle | Nils J. Ziegeler Peter W. Nolte Stefan Schweizer Quantitative Performance Comparison of Thermal Structure Function Computations Energies compact thermal models thermal impedance transient thermal measurement time constant spectrum thermal structure function network identification by deconvolution |
| title | 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_short | Quantitative Performance Comparison of Thermal Structure Function Computations |
| title_sort | quantitative performance comparison of thermal structure function computations |
| topic | compact thermal models thermal impedance transient thermal measurement time constant spectrum thermal structure function network identification by deconvolution |
| url | https://www.mdpi.com/1996-1073/14/21/7068 |
| work_keys_str_mv | AT nilsjziegeler quantitativeperformancecomparisonofthermalstructurefunctioncomputations AT peterwnolte quantitativeperformancecomparisonofthermalstructurefunctioncomputations AT stefanschweizer quantitativeperformancecomparisonofthermalstructurefunctioncomputations |