DocumentCode :
3354309
Title :
Dam Gate Diagnosing Advisor-an expert system for steel structures
Author :
Terano, Takao ; Sinohara, Yasusi ; Matsui, Shouichi ; Nakamura, Hideharu
Author_Institution :
Central Res. Inst. of Electr. Power Ind., Tokyo, Japan
fYear :
1988
fDate :
25-27 May 1988
Firstpage :
129
Lastpage :
134
Abstract :
The Dam Gate Diagnosing Advisor (DGDA) is a frame-based expert system developed in the field of civil and structural engineering for diagnosing dam gates at hydro power stations. The function of DGDA is to diagnose the current status of each dam gate and to predict its remaining life term based on both structural engineering and empirical standpoints. To make the diagnoses reliable, the authors have developed an easy-to-use structural analysis program using the finite-element method and a flexible relational database consisting of questionnaire surveys, measurement data, and design information on each dam gate. Also developed is a method for handling data and knowledge uncertainty, which combines the analytic hierarchy process, a nonBayesian decision theory, with ordinary frame-/rule-based knowledge representation.<>
Keywords :
civil engineering computing; dams; expert systems; hydroelectric power stations; structural engineering computing; DGDA; Dam Gate Diagnosing Advisor; analytic hierarchy; civil engineering; dam gates; data handling; design information; finite-element method; flexible relational database; frame-/rule-based knowledge representation; frame-based expert system; hydro power stations; knowledge uncertainty; measurement data; nonBayesian decision theory; questionnaire surveys; remaining life term; steel structures; structural analysis program; structural engineering; Diagnostic expert systems; Earthquakes; Information analysis; Metals industry; Power generation; Power system reliability; Relational databases; Steel; Structural engineering; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence for Industrial Applications, 1988. IEEE AI '88., Proceedings of the International Workshop on
Conference_Location :
Hitachi City, Japan
Type :
conf
DOI :
10.1109/AIIA.1988.13282
Filename :
13282
Link To Document :
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