Mixed Uncertainty Quantification and Imprecise Sensitivity Analysis for EMC Assessment Based on Probability Box Theory and Polynomial Chaos-Reference-Cited by-同舟云学术

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Mixed Uncertainty Quantification and Imprecise Sensitivity Analysis for EMC Assessment Based on Probability Box Theory and Polynomial Chaos

Published:2024-04 Issue:2 Volume:66 Page:493-501
ISSN:0018-9375
Container-title:IEEE Transactions on Electromagnetic Compatibility
language:
Short-container-title:IEEE Trans. Electromagn. Compat.

Author:

Wang Yinhao¹^ORCID,Li Gang¹^ORCID,Yu Quanyi¹^ORCID,Jiang Haolin¹^ORCID,Pi Shuai¹^ORCID,Wang Tianhao¹^ORCID,Chi Yaodan²^ORCID

Affiliation:

1. College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China

2. College of Electronic and Computer, Jilin Jianzhu University, Changchun, China

Funder

Jilin Scientific and Technological Development Program

Key Laboratory for Comprehensive Energy Saving of Cold Regions Architecture of Ministry of Education

Jilin Jianzhu University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/15/10504687/10449935.pdf?arnumber=10449935

Reference32 articles.

1. Review of Uncertainty Quantification of Measurement and Computational Modeling in EMC Part I: Measurement Uncertainty

2. The GUM revision: the Bayesian view toward the expression of measurement uncertainty

3. A modified ISO 13528 robust analysis (Algorithm A) that takes measurement uncertainty into account

4. Review of Uncertainty Quantification of Measurement and Computational Modeling in EMC Part II: Computational Uncertainty

5. A new algorithm for Monte Carlo simulation of Ising spin systems

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