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A compact smart sensor based on a neural classifier for objects modeled by Beaunier's model

Abstract

A new solution of a smart microcontroller sensor based on a simple direct sensor-microcontroller interface for technical objects modeled by two-terminal networks and by the Beaunier’s model of anticorrosion coating is proposed. The tested object is stimulated by a square pulse and its time voltage response is sampled four times by the internal ADC of microcontroller. A neural classifier based on measurement data classifies the tested object to a given degradation stage.

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Category:
Articles
Type:
artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
Published in:
Przegląd Elektrotechniczny pages 60 - 63,
ISSN: 0033-2097
Language:
English
Publication year:
2017
Bibliographic description:
Czaja Z., Kowalewski M.: A compact smart sensor based on a neural classifier for objects modeled by Beaunier's model// Przegląd Elektrotechniczny. -., nr. 10 (2017), s.60-63
DOI:
Digital Object Identifier (open in new tab) 10.15199/48.2017.10.14
Verified by:
Gdańsk University of Technology

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