Investigating Empirical Mode Decomposition in the Parameter Estimation of a Three-Section Winding Model
Parameter estimation represents an important aspect of modeling electromagnetic systems, and a wide range of parameter estimation strategies has been explored in literature. Most parameter estimation methodologies make use of either time-domain or frequency-domain responses as measured from the term...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/4/1668 |
| _version_ | 1797621253986582528 |
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| author | Daniel Marc Banks Johannes Cornelius Bekker Hendrik Johannes Vermeulen |
| author_facet | Daniel Marc Banks Johannes Cornelius Bekker Hendrik Johannes Vermeulen |
| author_sort | Daniel Marc Banks |
| collection | DOAJ |
| description | Parameter estimation represents an important aspect of modeling electromagnetic systems, and a wide range of parameter estimation strategies has been explored in literature. Most parameter estimation methodologies make use of either time-domain or frequency-domain responses as measured from the terminals of the device under test. Very limited research has, however, been conducted into exploring the use of modal decomposition strategies on the time-domain waveforms for parameter estimation applications. In this paper, the use of Empirical Mode Decomposition for estimating the parameters of a three-section lumped parameter transformer model is explored. A novel approach is proposed to define the optimization cost function in terms of the intrinsic modes of simulated time-domain waveforms. The results are compared with results obtained using classical time-domain and frequency-domain approaches. It is shown through an impulse response test that weighting the modes obtained from the Inferred Empirical Mode Decomposition approach presented in this work offers advantages in terms of accurately representing the target model transfer function dynamics and can assist in interpreting the various dynamic modes associated with the target model. |
| first_indexed | 2024-03-11T08:54:12Z |
| format | Article |
| id | doaj.art-c01c6a539fbe45e0a5f0c8389b16af09 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T08:54:12Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-c01c6a539fbe45e0a5f0c8389b16af092023-11-16T20:16:07ZengMDPI AGEnergies1996-10732023-02-01164166810.3390/en16041668Investigating Empirical Mode Decomposition in the Parameter Estimation of a Three-Section Winding ModelDaniel Marc Banks0Johannes Cornelius Bekker1Hendrik Johannes Vermeulen2Department of Electrical and Electronic Engineering, Stellenbosch University, Stellenbosch 7600, South AfricaDepartment of Electrical and Electronic Engineering, Stellenbosch University, Stellenbosch 7600, South AfricaDepartment of Electrical and Electronic Engineering, Stellenbosch University, Stellenbosch 7600, South AfricaParameter estimation represents an important aspect of modeling electromagnetic systems, and a wide range of parameter estimation strategies has been explored in literature. Most parameter estimation methodologies make use of either time-domain or frequency-domain responses as measured from the terminals of the device under test. Very limited research has, however, been conducted into exploring the use of modal decomposition strategies on the time-domain waveforms for parameter estimation applications. In this paper, the use of Empirical Mode Decomposition for estimating the parameters of a three-section lumped parameter transformer model is explored. A novel approach is proposed to define the optimization cost function in terms of the intrinsic modes of simulated time-domain waveforms. The results are compared with results obtained using classical time-domain and frequency-domain approaches. It is shown through an impulse response test that weighting the modes obtained from the Inferred Empirical Mode Decomposition approach presented in this work offers advantages in terms of accurately representing the target model transfer function dynamics and can assist in interpreting the various dynamic modes associated with the target model.https://www.mdpi.com/1996-1073/16/4/1668winding modelparameter estimationparticle swarmempirical mode decomposition |
| spellingShingle | Daniel Marc Banks Johannes Cornelius Bekker Hendrik Johannes Vermeulen Investigating Empirical Mode Decomposition in the Parameter Estimation of a Three-Section Winding Model Energies winding model parameter estimation particle swarm empirical mode decomposition |
| title | Investigating Empirical Mode Decomposition in the Parameter Estimation of a Three-Section Winding Model |
| title_full | Investigating Empirical Mode Decomposition in the Parameter Estimation of a Three-Section Winding Model |
| title_fullStr | Investigating Empirical Mode Decomposition in the Parameter Estimation of a Three-Section Winding Model |
| title_full_unstemmed | Investigating Empirical Mode Decomposition in the Parameter Estimation of a Three-Section Winding Model |
| title_short | Investigating Empirical Mode Decomposition in the Parameter Estimation of a Three-Section Winding Model |
| title_sort | investigating empirical mode decomposition in the parameter estimation of a three section winding model |
| topic | winding model parameter estimation particle swarm empirical mode decomposition |
| url | https://www.mdpi.com/1996-1073/16/4/1668 |
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