DocumentCode
1552057
Title
Sensor linearization with neural networks
Author
Medrano-Marqués, Nicolás J. ; Martín-Del-Brío, Bonifacio
Author_Institution
Dept. of Electron. Eng. & Commun., Zaragoza Univ., Spain
Volume
48
Issue
6
fYear
2001
fDate
12/1/2001 12:00:00 AM
Firstpage
1288
Lastpage
1290
Abstract
A procedure for extending the linear range of an arbitrary sensor is proposed. The process is carried out by a neural network which compensates the sensor nonlinear characteristic. A negative temperature coefficient resistor sensor is used as an application example of the procedure, and its implementation in low-resolution microcontrollers is analyzed
Keywords
compensation; electric sensing devices; linearisation techniques; microcontrollers; multilayer perceptrons; neural nets; resistors; low-resolution microcontrollers; multilayer perceptrons; negative temperature coefficient resistor sensor; neural network; sensor linear range extension; sensor nonlinear characteristic compensation; transducer linearization; Artificial neural networks; Coupling circuits; Inductors; Microcontrollers; Neural networks; Reactive power; Resistors; Sensor phenomena and characterization; Switches; Temperature sensors;
fLanguage
English
Journal_Title
Industrial Electronics, IEEE Transactions on
Publisher
ieee
ISSN
0278-0046
Type
jour
DOI
10.1109/41.969414
Filename
969414
Link To Document