Neuro-fuzzy based multisensor diagnosis concept for qualified condition assessment in sewer systems

被引：2

作者：

Frey, CW ^{[1
]}

Kuntze, HB ^{[1
]}

机构：

[1] Fraunhofer IITB, Abt MRD, Grp Multisensorsyst, D-76131 Karlsruhe, Germany

来源：

TECHNISCHES MESSEN | 2003年 / 70卷 / 7-8期

关键词：

diagnosis; multi sensor fusion; condition assessment; sewer-pipe; neuro-fuzzy-systems;

D O I：

10.1524/teme.70.7.386.22644

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

Qualified damage diagnosis in sewer pipes requires besides conventional TV technology the introduction of different sensors for the detection of specific damages. Within the framework of the joint research project SAM supported by the Deutsche Forschungsgemeinschaft (DFG) specific inspection sensors have been investigated in terms of feasibility and performance. For the smart integration of the complementary sensor information toward a comprehensive condition assessment a Neuro-Fuzzy based multi sensor diagnosis concept has been developed and tested. The theoretical concept and the practical application are reported in this contribution.

引用

页码：386 / 397

页数：12

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