Stochastic PEEC Method Based on Polynomial Chaos Expansion.
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| Title: | Stochastic PEEC Method Based on Polynomial Chaos Expansion. |
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| Authors: | Torchio, R.1 (AUTHOR) riccardo.torchio@studenti.unipd.it, Di Rienzo, L.2 (AUTHOR), Codecasa, L.2 (AUTHOR) |
| Source: | IEEE Transactions on Magnetics. Jun2019, Vol. 55 Issue 6, p1-4. 4p. |
| Subjects: | Polynomial chaos, Random variables, Circuit elements, Magnetic shielding, Magnetic noise, Uncertainty, Galerkin methods |
| Abstract: | The new stochastic partial element equivalent circuit (PEEC) method is proposed for uncertainty quantification in electromagnetic problems when material parameters are considered as random variables. The proposed formulation is derived using polynomial chaos expansion (PCE) and Galerkin projection. For the first time, the well-known advantages of PEEC are combined with those of PCE techniques, which can tackle also large variations in the random parameters. Volume conductive media are first considered in the formulation, which is then extended to dielectric, magnetic, and surface conductive media. [ABSTRACT FROM AUTHOR] |
| Copyright of IEEE Transactions on Magnetics is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 136509637 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Stochastic PEEC Method Based on Polynomial Chaos Expansion. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Torchio%2C+R%2E%22">Torchio, R.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> riccardo.torchio@studenti.unipd.it</i><br /><searchLink fieldCode="AR" term="%22Di+Rienzo%2C+L%2E%22">Di Rienzo, L.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Codecasa%2C+L%2E%22">Codecasa, L.</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Magnetics%22">IEEE Transactions on Magnetics</searchLink>. Jun2019, Vol. 55 Issue 6, p1-4. 4p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Polynomial+chaos%22">Polynomial chaos</searchLink><br /><searchLink fieldCode="DE" term="%22Random+variables%22">Random variables</searchLink><br /><searchLink fieldCode="DE" term="%22Circuit+elements%22">Circuit elements</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+shielding%22">Magnetic shielding</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+noise%22">Magnetic noise</searchLink><br /><searchLink fieldCode="DE" term="%22Uncertainty%22">Uncertainty</searchLink><br /><searchLink fieldCode="DE" term="%22Galerkin+methods%22">Galerkin methods</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The new stochastic partial element equivalent circuit (PEEC) method is proposed for uncertainty quantification in electromagnetic problems when material parameters are considered as random variables. The proposed formulation is derived using polynomial chaos expansion (PCE) and Galerkin projection. For the first time, the well-known advantages of PEEC are combined with those of PCE techniques, which can tackle also large variations in the random parameters. Volume conductive media are first considered in the formulation, which is then extended to dielectric, magnetic, and surface conductive media. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IEEE Transactions on Magnetics is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/tmag.2018.2889435 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 4 StartPage: 1 Subjects: – SubjectFull: Polynomial chaos Type: general – SubjectFull: Random variables Type: general – SubjectFull: Circuit elements Type: general – SubjectFull: Magnetic shielding Type: general – SubjectFull: Magnetic noise Type: general – SubjectFull: Uncertainty Type: general – SubjectFull: Galerkin methods Type: general Titles: – TitleFull: Stochastic PEEC Method Based on Polynomial Chaos Expansion. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Torchio, R. – PersonEntity: Name: NameFull: Di Rienzo, L. – PersonEntity: Name: NameFull: Codecasa, L. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 00189464 Numbering: – Type: volume Value: 55 – Type: issue Value: 6 Titles: – TitleFull: IEEE Transactions on Magnetics Type: main |
| ResultId | 1 |
