Application of fuzzy information fusion in fault diagnosis of belt conveyor

In view of problems of uncertainty and locality of information obtained by a single sensor in process of fault diagnosis of belt conveyor, the paper proposed a fault diagnosis method based on multi-sensor fuzzy information fusion. The method fuzzes information of belt conveyor obtained by temperatur...

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Bibliographic Details
Main Authors: HU Wei, LI Ou
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2013-06-01
Series:Gong-kuang zidonghua
Subjects:
Online Access:http://www.gkzdh.cn/article/id/9191
Description
Summary:In view of problems of uncertainty and locality of information obtained by a single sensor in process of fault diagnosis of belt conveyor, the paper proposed a fault diagnosis method based on multi-sensor fuzzy information fusion. The method fuzzes information of belt conveyor obtained by temperature sensor, dust sensor and smoke sensor, fuses the information through synthetic operation and decision rule in fusion center, so as to get accurate estimation and judge of state of the belt conveyor. The experimental result shows that the method improves accuracy and reliability of the fault diagnosis of belt conveyor.
ISSN:1671-251X