Integration of knowledge sources for flexible pipe evaluation and design

被引：10

作者：

Bogarin, JAG

Ebecken, NFF

机构：

[1] Lab. of Artificial Intelligence, COPPE - Fed. Univ. of Rio de Janeiro, CEP 21945-970, Rio de Janeiro, RJ

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 1996年 / 10卷 / 01期

关键词：

D O I：

10.1016/0957-4174(95)00031-3

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents FRAES, an expert system environment designed to integrate the multiple sources of knowledge required to analyze the internal structure of flexible pipes. Numerical algorithms, data bases and expert knowledge are explored by the inference mechanism of the system to assist the technical personnel of petroleum companies in the analysis, design and diagnosis of flexible pipes to be used as flowlines or risers in offshore applications.

引用

页码：29 / 36

页数：8