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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
Bibliography: test
  1. Niedostatkiewicz M., Lentka G., Test frequencies selection criteria for parameter identification of anticorrosion coating using bilinear transformation, 16th IMEKO TC4 Symposium, Florence, Italy, (2008)
  2. Niedostatkiewicz M., Lentka G., Frequencies selection for accelerated CNLS parameter identification of anticorrosion coatings,
  3. Mansfeld F., Kendig M.W., Tsai C.H., Evaluation of Corrosion Behavior of Coated Metals with AC Impedance Measurements, Corrosion 38 (1982), 478-485 open in new tab
  4. Atmel Corporation, Atmel AVR XMEGA AU Manual, (2012), PDF file available from: www.atmel.com
  5. International Rectifier, IRF7105 HEXFET Power MOSFET, El Segundo, CA, USA, (2003), PDF file available: http://www.irf.com open in new tab
  6. Czaja Z., A microcontroller system for measurement of three independent components in impedance sensors using a single square pulse, Sensors and Actuators A, 173, (2013), 284-292 open in new tab
  7. Kowalewski M., Zielonko R., A New Two-center Ellipsoidal Basis Function Neural Network for Fault Diagnosis of Analog Electronic Circuits, Proc. of the 2nd Int. Conf. on Information Technology ICIT 2010, Gdańsk, (2010), 143-146 open in new tab
  8. Czaja Z., Kowalewski M., An Application of TCRBF Neural Network in Multi-node Fault Diagnosis Method, IMEKO XIX World Congress, Lisbon, Portugal, (2009), 503 -508
  9. Czaja Z., Kowalewski M., A New Method for Diagnosis of Analog Parts in Electronic Embedded Systems with Two Center Radial Basis Function Neural Networks, 16th IMEKO TC4 Symposium, Florence, Italy, (2008), 743-748 open in new tab
Verified by:
Gdańsk University of Technology

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