Research on Conducted EMI Noise Diagnosis Method based on Infomax-WT Algorithm

Research on Conducted EMI Noise Diagnosis Method based on Infomax-WT Algorithm

baitong_song

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Baitong Song

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Wu Zhang

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Zhou Chen

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Hao Ma

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Yakang Pei

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Nanjing Normal University

Research on Conducted EMI Noise Diagnosis Method based on Infomax-WT Algorithm

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Abstract

In this paper, a diagnostic method of conducted EMI noise based on the Infomax-WT algorithm is proposed. Using collected conductive EMI noise samples, several independent noise signals are separated by Infomax. Each noise signal is subjected to wavelet transform to obtain the time-frequency diagram of each noise signal. The noise source is determined according to the frequency characteristic obtained by the time-frequency chart. Finally.

References

9 Cites in Article

Reference Format

Song Zhenfei,Su Donglin,Xie Shuguo (2009). Detecting the Number of EMI Sources Based on Higher Order Statistics.
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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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Not applicable for this article.

How to Cite This Article

baitong_song. 2020. \u201cResearch on Conducted EMI Noise Diagnosis Method based on Infomax-WT Algorithm\u201d. Global Journal of Science Frontier Research - A: Physics & Space Science GJSFR-A Volume 20 (GJSFR Volume 20 Issue A13).

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GJSFR Volume 20 Issue A13

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

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GJSFR-A Classification FOR Code: 091301p

Submission ReceivedNovember 18, 2020
Peer Review Double Blind
Handling Editor
Accepted November 24, 2020
Published December 14, 2020

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v1.2

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December 14, 2020

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