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Title:An EMI filter selection method based on spectrum of digital periodic signal
Authors:ID Podberšič, Marko (Author)
ID Matko, Vojko (Author)
ID Šegula, Matjaž (Author)
Files:.pdf Sensors_2006_Podbersic,_Matko,_Segula_An_EMI_Filter_Selection_Method_Based_on_Spectrum_of_Digital_Periodic_Signal.pdf (189,00 KB)
MD5: D60B6EACB653C8BA56E489BB231BF38F
 
URL http://www.mdpi.com/1424-8220/6/3/90/
 
Language:Slovenian
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:This paper describes a new method for the selection of an appropriate signal lineElectromagnetic Interference (EMI) filter. To date, EMI filter selection has been based on the measurement of the radiation of the entire device. The new selection method based on the signal’s Fast Fourier Transform (FFT) measurement has proved to be efficient. The EMIfilter is optimized separately for each line. The method described in this paper involving aCentral Processor Unit (CPU) module demonstrates that the proposed FFT-based selection method is better than the radiation-based one. The radiation level in the frequency range 30MHz to 1 GHz is lower for approximate 2 – 6 dBμV/m.
Keywords:EMC, EMI filters, electrically long trace, typical frequency, sensor
Publication status:Published
Publication version:Version of Record
Year of publishing:2006
Number of pages:str. 90-99
Numbering:Letn. 6, št. 3
PID:20.500.12556/DKUM-66364 New window
ISSN:1424-8220
UDC:681.5
ISSN on article:1424-8220
COBISS.SI-ID:10266646 New window
DOI:10.3390/s6030090 New window
NUK URN:URN:SI:UM:DK:VGBLZ5SP
Publication date in DKUM:22.06.2017
Views:1223
Downloads:465
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Sensors
Shortened title:Sensors
Publisher:MDPI
ISSN:1424-8220
COBISS.SI-ID:10176278 New window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:22.06.2017

Secondary language

Language:English
Keywords:EMC, EMI filtri, kritična dolžina linije, tipična frekvenca, senzor


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