Multi-sensor data fusion and its application to industrial control

被引：7

作者：

Yang, DY ^{[1
]}

Yuzo, Y ^{[1
]}

机构：

[1] Zhejiang Unviv Technol, Dept Comp Engn, Hangzhou 310032, Peoples R China

来源：

SICE 2000: PROCEEDINGS OF THE 39TH SICE ANNUAL CONFERENCE, INTERNATIONAL SESSION PAPERS | 2000年

关键词：

data fusion; neural network control; complex system;

D O I：

10.1109/SICE.2000.889682

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a new cluster fusion control strategy based on multi-sensor 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 coordinating, 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.

引用

页码：215 / 220

页数：6

共 6 条

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