KFU. Card publication. An Approach to Construction the Neuromorphic Classifier for Analog Fault Testing and Diagnosis

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

AN APPROACH TO CONSTRUCTION THE NEUROMORPHIC CLASSIFIER FOR ANALOG FAULT TESTING AND DIAGNOSIS

Form of presentation

Conference proceedings in Russian journals and collections

Year of publication

2015

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Authors, employees of KFU

Mosin Sergey Gennadevich, author

Bibliographic description in the original language

Mosin, S. An Approach to Construction the Neuromorphic Classifier for Analog Fault Testing and Diagnosis, Proc. of 4th Mediterranean Conference on Embedded Computing (MECO), Budva, Montenegro – ISBN 978-1-4799-8999-7

Annotation

Proc. of 4th Mediterranean Conference on Embed-ded Computing (MECO)

Keywords

Testing, diagnosis, neural network, classification, clusterization

The name of the journal

Proc. of 4th Mediterranean Conference on Embed-ded Computing (MECO)

URL

http://dx.doi.org/10.1109/MECO.2015.7181917

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=125502&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Mosin Sergey Gennadevich	ru_RU
dc.date.accessioned	2015-01-01T00:00:00Z	ru_RU
dc.date.available	2015-01-01T00:00:00Z	ru_RU
dc.date.issued	2015	ru_RU
dc.identifier.citation	Mosin, S. An Approach to Construction the Neuromorphic Classifier for Analog Fault Testing and Diagnosis, Proc. of 4th Mediterranean Conference on Embedded Computing (MECO), Budva, Montenegro – ISBN 978-1-4799-8999-7	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=125502&p_lang=2	ru_RU
dc.description.abstract	Proc. of 4th Mediterranean Conference on Embed-ded Computing (MECO)	ru_RU
dc.description.abstract	Testing and diagnosis of analog circuits are very important tasks at the quality assurance of integrated circuits and electronic devices. Faults detection and identification are realized using fault dictionary. The architecture of fault dictionary has an essential influence on time and efficiency of diagnosis at whole. An approach to the construction of fault dictionary as the neuromorphic classifier for analog fault testing and diagnosis is proposed. The approach takes into account the component tolerances, includes the faults clustering as the preprocessing and selection the essential characteristics of CUT's output responses providing the maximum distinguishability between all fault clusters. The experimental results were obtained for second-order bandpass filter and are presented in the paper for demonstrating the proposed approach	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Testing	ru_RU
dc.subject	diagnosis	ru_RU
dc.subject	neural network	ru_RU
dc.subject	classification	ru_RU
dc.subject	clusterization	ru_RU
dc.title	An Approach to Construction the Neuromorphic Classifier for Analog Fault Testing and Diagnosis	ru_RU
dc.type	Conference proceedings in Russian journals and collections	ru_RU