Sensor selection based on possibility measure for grinding system

Author

Kobayashi, Futoshi ; Arai, Fumihito ; Fukuda, Toshio ; Onoda, Makoto ; Hotta, Yuzo

Author_Institution

Dept. of Micro Syst. Eng., Nagoya Univ., Japan

Volume

1

fYear

1999

fDate

22-25 Aug. 1999

Firstpage

492

Abstract

Grinding process is frequently used to produce a smooth surface in the manufacturing system. In this process, sensor fusion methods for inferring the surface roughness from online sensing information have received much attention, because it takes a long time to measure the surface roughness during process. In addition, it is necessary to select the sensing information for adapting to various situation flexibly. This paper proposes a sensor fusion system with sensor selection method for a grinding system. The sensor selection method is based on the production rules, considering with the reliability calculated by the possibility measure which is a type of the fuzzy measure. Then, the sensor fusion system fuses the sensor information selected by the sensor selection method using a recurrent neural network.

Keywords

fuzzy set theory; grinding; manufacturing processes; possibility theory; production engineering computing; recurrent neural nets; sensor fusion; fuzzy measure; grinding system; manufacturing system; possibility measure; recurrent neural network; sensor fusion; sensor selection; surface roughness; Machinery; Production systems; Recurrent neural networks; Rough surfaces; Sense organs; Sensor fusion; Sensor systems; Surface roughness; Systems engineering and theory; Wheels;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International

Conference_Location

Seoul, South Korea

ISSN

1098-7584

Print_ISBN

0-7803-5406-0

Type

conf

DOI

10.1109/FUZZY.1999.793290

Filename

793290