Conference Proceeding

Proposal of A Novel EMI Diagnostic System using Independent Component Analysis

NTT Energy & Environ. Syst. Labs., NTT Corp., Musashino
02/2009; DOI:10.1109/EMCZUR.2009.4783479 pp.417 - 420 In proceeding of: Electromagnetic Compatibility, 2009 20th International Zurich Symposium on
Source: IEEE Xplore

ABSTRACT This paper presents a noise diagnosing system that can separate multiple interfering signals due to crosstalk or common-mode noise problems. In estimating original time-series signals from measured data sets, our system uses the independent component analysis (ICA) scheme, which uses a statistical technique to separate blind source signals from measured data sets. In addition, mutual-correlation coefficients between separated and measured signals are used to obtain a set of measured and estimated signals. Evaluations of transmission lines confirmed that our system is effective for diagnosing multiple electromagnetic interference (EMI) problems, resulting in the mutual-correlation coefficients between the original and estimated signals being more than 0.9 for 1-20 MHz sinusoidal signals.

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Keywords

1-20 MHz sinusoidal signals
 
common-mode noise problems
 
data sets
 
ICA
 
independent component analysis
 
multiple electromagnetic interference
 
mutual-correlation coefficients
 
paper presents
 
separate blind source signals
 
statistical technique
 
transmission lines
 

M. Masugi