Masters Theses

Ze Sun

Keywords and Phrases

Dipole; Electromagnetic Interference

Abstract

“There are hundreds, sometimes even thousands, of servers working simultaneously inside a data center. Their radiation can be a problem and cause EMI issues. However, it is not feasible to perform full-wave simulation of these racks because of the large electric size of the model. In this thesis, an algorithm is proposed to predict the emission form rack array. The equivalent dipole source is extracted from EMI measurement data of a single rack and used as the radiation source in the multiple rack model. The coupling between racks cannot be ignored, but through the simulation, it is also found that only those located near the radiation source will have a significant impact on the final result. In this way, the contribution of each rack to the final electromagnetic field distribution can be calculated using a model with only a few racks included. In order to accelerate the simulation further, racks in the array are divided into several groups. Racks in the same group are located at similar positions in the array, and their contribution can be calculated using one model. After the simulation is done, the emissions from each single rack are added together to get the final prediction result. Each step of the simplification is validated by measurement and simulation, and the final predicted result agrees with the measurement result”--Abstract, page iii.

Advisor(s)

Fan, Jun, 1971-

Committee Member(s)

Hwang, Chulsoon
Beetner, Daryl G.

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering

Research Center/Lab(s)

Electromagnetic Compatibility (EMC) Laboratory

Publisher

Missouri University of Science and Technology

Publication Date

Fall 2019

Pagination

x, 49 pages

Note about bibliography

Includes bibliographic references (pages 46-48).

Rights

© 2019 Ze Sun, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 12054

Electronic OCLC #

1313117365

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