Title :
Neural network for error correction of pressure force sensor based on elastomagnetic phenomena
Author :
Vojtko, J. ; Kovac, D. ; Kovacova, I. ; Madarasz, L.
Author_Institution :
Dept. of Theor. Electrotech. & Electr. Meas., Tech. Univ. of Kosice
fDate :
Aug. 30 2004-Sept. 1 2004
Abstract :
This paper deals with possibilities of error correction of elastomagnetic sensors, which are used for measuring of massive pressure force within the range 0 - 200 kN. For these sensors, it is very hard to obtain the correct expression of measured force values from input data. Therefore designed solution is based on utilizing of feedforward neural networks. Also the experimental results are done
Keywords :
error correction; feedforward neural nets; force measurement; force sensors; magnetic sensors; magnetoelastic effects; pressure sensors; elastomagnetic phenomena; elastomagnetic sensors; error correction; feedforward neural networks; pressure force sensor; Electric variables measurement; Error correction; Force measurement; Force sensors; Magnetic field measurement; Magnetic sensors; Mechanical sensors; Neural networks; Sensor phenomena and characterization; Voltage;
Conference_Titel :
Computational Cybernetics, 2004. ICCC 2004. Second IEEE International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7803-8588-8
DOI :
10.1109/ICCCYB.2004.1437690
