USAGE OF TWO-CENTER BASIS FUNCTION NEURAL CLASSIFIERS IN COMPACT SMART RESISTIVE SENSORS

M. Kowalewski, Z. Czaja

Abstract

A new solution of the smart resistance sensor with the Two-Center Basis Function (TCBF) neural classifier, for which the resistance sensor is a component of an anti-aliasing filter of an ADC is proposed. The temperature measurement procedure is based on excitation of the filter by square impulses, sampling time response of the filter and processing measured voltage values by the TCBF classifier. All steps of the measurement procedure can be realized by the microcontroller and its internal devices.

Keywords

microcontrollers, smart resistive sensors, neural networks, fault identification

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IMEKO-WC-2012-TC4-P7.pdf

DOI

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IMEKO TC

TC4 - Measurement of Electrical Quantities

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