Application of ANN on the Intelligent Temperature Sensor

Author

Han, Bingxin ; Liu, Lixian ; He, Chaofeng ; Du, Liqiang

Author_Institution

Dept. of Electr. Eng., Shijiazhuang Railway Inst.

Volume

1

fYear

0

fDate

0-0 0

Firstpage

4956

Lastpage

4959

Abstract

There is non-linearity in the temperature sensor, most of which are rectified by consulting the tables or piecewise linearization. In this paper, the linearity principle of the thermocouple sensor with artificial neural networks (ANN) and the adjusting algorithm of ANN weights are analyzed. Meanwhile, the principle of non-linearity rectification is verified by taking platinum-rhodium 30-platinum-rhodium 6 thermocouple (B) sensor as an example, thus linearization method is simplified. After adopting ANN, the precision of the sensor system has been greatly improved compared with traditional intelligent sensors, and favorable effects have been obtained by applying it to chinaware stove

Keywords

intelligent sensors; linearisation techniques; neural nets; temperature sensors; thermocouples; artificial neural networks; intelligent temperature sensor; linearity principle; linearization method; nonlinearity rectification; piecewise linearization; platinum-rhodium 30-platinum-rhodium 6 thermocouple sensor; temperature sensor nonlinearity; Algorithm design and analysis; Artificial neural networks; Chaos; Helium; Intelligent sensors; Linearity; Rail transportation; Sensor systems; Temperature sensors; Thermal sensors; Intelligent sensor; artificial neural networks; thermocouple;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713329

Filename

1713329