DocumentCode :
2447003
Title :
Case-Based Decision Support for Bridge Monitoring
Author :
Freudenthaler, Bernhard ; Gutenbrunner, Georg ; Stumptner, Reinhard ; King, Jacob
Author_Institution :
Inst. for Applic. Oriented Knowledge Process., Univ. of Linz, Linz
fYear :
2008
fDate :
July 27 2008-Aug. 1 2008
Firstpage :
31
Lastpage :
36
Abstract :
This paper deals with the support of human experts in making decisions in the field of bridge monitoring. Thereby, the methodology case-based reasoning is described to develop a decision support system for the interpretation of measurement results of bridges. Case-based reasoning is a cyclic problem solving method whereby already known knowledge about bridges is stored in form of cases. The system uses these cases to help the engineers in interpreting measurement results. Each bridge has different dynamic parameters. Therefore, analysis and interpretation of the raw datais very time-consuming and cost-intensive. Furthermore, the interpretation by human experts is done in a subjective way because each engineer has different concepts and experience in the interpretation of bridge measurement data. On this account, there is a need for an intelligent decision support system to support engineers in interpreting measurement results and making decisions.
Keywords :
bridges (structures); case-based reasoning; computerised monitoring; condition monitoring; decision support systems; structural engineering computing; bridge monitoring; case-based reasoning; cyclic problem solving method; decision making; intelligent decision support system; Aerodynamics; Bridges; Civil engineering; Data engineering; Decision support systems; Humans; Monitoring; Systems engineering and theory; Testing; Vibration measurement; Bridge Monitoring; Case-based Reasoning; Decision Support System; Structural Health Monitoring;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing in the Global Information Technology, 2008. ICCGI '08. The Third International Multi-Conference on
Conference_Location :
Athens
Print_ISBN :
978-0-7695-3275-2
Electronic_ISBN :
978-0-7695-3275-2
Type :
conf
DOI :
10.1109/ICCGI.2008.33
Filename :
4591341
Link To Document :
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