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Metamodel of Power Electronic Converters Using Learning SVR Method Coupling With Wavelet Compression
- Source :
- IEEE Transactions on Electromagnetic Compatibility, IEEE Transactions on Electromagnetic Compatibility, Institute of Electrical and Electronics Engineers, 2016, 58 (2), pp.588-598. ⟨10.1109/TEMC.2016.2519684⟩
- Publication Year :
- 2016
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2016.
-
Abstract
- International audience; This paper deals with a new method of metamodel construction for electromagnetic compatibility (EMC) simulation of power electronic converters. The proposed method uses a compressed wavelet coefficients vector of a time-domain signal and a learning method [support vector regression (SVR)]. This can be applied for a black box approach of modeling of complex systems such as power converters. This allows the study of EMC behavior, the impact of the uncertainties and their propagations inside the model or the design of EMC filters.
- Subjects :
- Engineering
02 engineering and technology
Wavelet transforms
Mathematical model
Wavelet
Black box
0202 electrical engineering, electronic engineering, information engineering
Electronic engineering
Electrical and Electronic Engineering
business.industry
[SPI.NRJ]Engineering Sciences [physics]/Electric power
020208 electrical & electronic engineering
SIGNAL (programming language)
Biological system modeling
Uncertainty
Electromagnetic compatibility
Wavelet transform
Computational modeling
020206 networking & telecommunications
Control engineering
Converters
Condensed Matter Physics
Atomic and Molecular Physics, and Optics
Power (physics)
Support vector machine
Integrated circuit modeling
business
Subjects
Details
- ISSN :
- 1558187X and 00189375
- Volume :
- 58
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Electromagnetic Compatibility
- Accession number :
- edsair.doi.dedup.....99236ebd416ccb1b61b27e8bd0b99345