A Novel Feature Extraction Method for Soft Faults in Nonlinear Analog Circuits Based on LMD-GFD and...
A Novel Feature Extraction Method for Soft Faults in Nonlinear Analog Circuits Based on LMD-GFD and KPCA
About this item
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Author / Creator
Lu, Xinmiao , Wang, Jiaxu , Wu, Qiong , Wei, Yuhan and Su, Yanwen
Publisher
Slavonski Baod: University of Osijek
Journal title
Language
English
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Publication information
Publisher
Slavonski Baod: University of Osijek
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Scope and Contents
Contents
To obtain feature information of soft faults in non-linear analog circuits in a more effective way, this paper proposed a novel feature extraction method for soft faults in non-linear analog circuits based on Local Mean Decomposition-Generalized Fractal Dimension (LMD-GFD) and Kernel Principal Component Analysis (KPCA). First, the fault signals wer...
Alternative Titles
Full title
A Novel Feature Extraction Method for Soft Faults in Nonlinear Analog Circuits Based on LMD-GFD and KPCA
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_a690d54cea884bb8af84bfe5df89b070
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a690d54cea884bb8af84bfe5df89b070
Other Identifiers
ISSN
1330-3651
E-ISSN
1848-6339
DOI
10.17559/TV-20210429033711
