A Novel Approach of Analog Fault Classification Using a Support Vector Machines Classifier
Author:
Publisher
Walter de Gruyter GmbH
Subject
Instrumentation,Control and Systems Engineering
Link
https://www.degruyter.com/view/j/mms.2010.xvii.issue-4/v10178-010-0046-0/v10178-010-0046-0.pdf
Reference18 articles.
1. A fuzzy approach for soft fault detection in analog circuits;M. Catelani;Meas,2002
2. Linear circuit fault diagnosis using neuro-morphic analyzers;R. Spina;IEEE Trans. Circuits Syst. II, Analog Digit. Signal Process,1997
3. Fault Diagnosis of Nonlinear Analog Circuits Using Neural Networks with Wavelet and Fourier Transforms as Preprocessors;F. Aminian;J. Electron. Test.: Theory Appl,2001
4. A Combined Clustering and Neural Network Approach for Analog Multiple Hard Fault Classification;M. El-Gamal;J. Electron. Test.: Theory Appl,1999
5. A novel method for fault diagnosis of analog circuits based on WP and GPNN;T. Yanghong;Int. J. Electron,2008
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