NDLI: Modeling of thermal-conductivity of smart humidity sensor

Content Provider	IEEE Xplore Digital Library
Author	Kouda, S. Dibi, Z. Meddour, F.
Copyright Year	2008
Description	Author affiliation: Lab. d'Electron. Av., Univ. of Batna, Batna (Kouda, S.; Dibi, Z.; Meddour, F.)
Abstract	This paper presents a design of a smart humidity sensor. First we begin by the modeling of a thermal-conductivity based humidity sensor (THS). Using neuronal networks and Matlab environment to accurately express the non-linearity, the cross sensitivity and the hysteresis of the output sensor used. We have done the training to create an analytical model dasiaTHSpsila. In a second step a linearization, by Matlab program, is applied to THS response whose goal is to create a database for an element of correction dasiaCORRECTORpsila. After that we use the bias matrix and the weights matrix obtained by training to establish the THS model and the CORRECTOR model on PSPICE simulator, where the output of the first is identical to the output of the THS and the last correct its nonlinear response, eliminate the hysteresis effect and the cross sensitivity.
Starting Page	1
Ending Page	4
File Size	185979
Page Count	4
File Format	PDF
ISBN	9781424426270
DOI	10.1109/ICSCS.2008.4746880
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-07
Publisher Place	Tunisia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	CORRECTOR Model Artificial neural networks Sensor systems Humidity Sensor Intelligent sensors Temperature sensors Mechanical sensors MLP ANN Modeling Humidity Thermal sensors SPICE Neuronal Network Mathematical model Hysteresis
Content Type	Text
Resource Type	Article

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