Multi-sensor data fusion and its application to industrial control

Author

Dongyong, Yang ; Yuzo, Yamane

Author_Institution

Dept. of Comput. Eng., Zhejiang Univ. of Technol., Hangzhou, China

fYear

2000

fDate

2000

Firstpage

215

Lastpage

220

Abstract

In this paper, a new cluster fusion control strategy based on multisensor data fusion technique is presented from a perspective of industrial control application. The MSIF system consists of n sensors, n data-fusion nodes, a data-fusion database, and a expert knowledge database. Data-fusion mechanisms, including data coordination, data-fusion method and expert knowledge database, are discussed. A modified ART-2 neural network which can process analog data is applied to realize the data-fusion machine. Details about data acquisition and process, cluster-fusion control, interpretative mechanism and executive framework are discussed

Keywords

ART neural nets; database management systems; expert systems; industrial control; sensor fusion; MSIF; cluster fusion control strategy; data acquisition; data coordination; data-fusion database; data-fusion machine; executive framework; expert knowledge database; industrial control; information fusion; interpretative mechanism; modified ART-2 neural network; multisensor data fusion; Industrial control;

fLanguage

English

Publisher

ieee

Conference_Titel

SICE 2000. Proceedings of the 39th SICE Annual Conference. International Session Papers

Conference_Location

Iizuka

Print_ISBN

0-7803-9805-X

Type

conf

DOI

10.1109/SICE.2000.889682

Filename

889682