DocumentCode :
2209899
Title :
Systematic hybrid modeling method for analysis of electromagnetic susceptibility in electronics system
Author :
Oo, Zaw Zaw ; Phuong, Bui Viet
Author_Institution :
Electronics and Photonics Department, Institute of High Performance Computing, A*STAR, 1 Fusionopolis Way, #16-16 Connexis, Singapore
fYear :
2015
fDate :
16-22 Aug. 2015
Firstpage :
317
Lastpage :
321
Abstract :
This paper presents a systematic hybrid modeling method for electromagnetic susceptibility analysis of electronics system in the presence of ambient electromagnetic interference (EMI). The electronics equipment/system comprises of sensitive data nets, high-speed components, shielding enclosures, and cables connected to the system. Due to complex structure and multi-scales geometry, a systematic hybrid approach is proposed to use multiple modeling techniques to analyze the different regions of the electronics system. The proposed methodology is capable of simplifying the system into equivalent models of cables, shielding enclosures and printed circuit boards, which enables the system-level electromagnetic susceptibility (EMS) analyses to be carried out through a series of computer simulations with minimal resources. A practical scenario for the simulation case demonstrates that this systematic hybrid approach is an efficient method to address the EMS problems at system level, in which the external EMI effects are fully considered and the circuit-based simulator is also exploited.
Keywords :
Analytical models; Computational modeling; Electromagnetic interference; Electromagnetics; Integrated circuit modeling; Microwave circuits; circuit simulation; electromagnetic susceptibility (EMS) analysis; electronics system; equivalent circuit method; printed circuit boards;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electromagnetic Compatibility (EMC), 2015 IEEE International Symposium on
Conference_Location :
Dresden, Germany
Print_ISBN :
978-1-4799-6615-8
Type :
conf
DOI :
10.1109/ISEMC.2015.7256179
Filename :
7256179
Link To Document :
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