Fault Detection based on Deep Learning for Digital VLSI Circuits

Author:

Gaber Lamya,Hussein Aziza I.,Moness Mohammed

Publisher

Elsevier BV

Subject

General Engineering

Reference29 articles.

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2. P. Fišer. (September 2005). Atalanta-M. Available: https://ddd.fit.cvut.cz/prj/Atalanta-M/

3. Q. Hu, R.-j. Wang, and Y.-j. Zhan, “Fault diagnosis technology based on SVM in power electronics circuit,” 2008.

4. “Cascaded H-bridge multilevel inverter system fault diagnosis using a PCA and multiclass relevance vector machine approach,”;Wang;IEEE Transactions on Power Electronics,2015

5. J.-D. Cai and R.-W. Yan, “Fault diagnosis of power electronic circuit based on random forests algorithm,” in 2009 Fifth International Conference on Natural Computation, 2009, pp. 214-217.

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