A novel neural network-based linearization and auto-compensation technique for sensors

Author

Patra, Jagdish C. ; Ang, Ee Luang ; Meher, Pramod K.

Author_Institution

Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore

fYear

2006

fDate

21-24 May 2006

Abstract

An artificial neural network (NN)-based technique for smart sensors operating in harsh environments is proposed that automatically calibrates, linearizes and compensates for the adverse effects due to nonlinear response characteristics and complex nonlinear dependency of the sensor characteristics on the environmental parameters. To show the potential of the proposed NN-based technique, we provide simulation results of a smart capacitive pressure sensor (CPS) operating under a wide temperature range

Keywords

capacitive sensors; intelligent sensors; linearisation techniques; neural nets; pressure sensors; sensor fusion; CPS; artificial neural network; auto-compensation technique; complex nonlinear dependency; neural network based linearization; nonlinear response characteristics; smart capacitive pressure sensor; smart sensors; Artificial neural networks; Calibration; Capacitive sensors; Computer networks; Intelligent sensors; Neural networks; Sensor phenomena and characterization; Temperature distribution; Temperature sensors; Transducers;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on

Conference_Location

Island of Kos

Print_ISBN

0-7803-9389-9

Type

conf

DOI

10.1109/ISCAS.2006.1692798

Filename

1692798