Testability Evaluation in Time-Variant Circuits: A New Graphical Method
Feature (linguistics)
Network Analysis
DOI:
10.3390/electronics11101589
Publication Date:
2022-05-17T01:36:06Z
AUTHORS (5)
ABSTRACT
DC–DC converter fault diagnosis, executed via neural networks built by exploiting the information deriving from testability analysis, is subject of this paper. The under consideration are complex valued (CVNNs), whose fundamental feature proper treatment phase and contained in it. In particular, a multilayer network based on multi-valued neurons (MLMVN) considered. order to effectively design network, analysis exploited. Two possible ways for executing converters proposed, taking into account single-fault hypothesis. theoretical foundations some applicative examples presented. Computer programs, symbolic techniques, used both training phase. obtained results very satisfactory demonstrate optimal performances method.
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (52)
CITATIONS (5)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....