Expert System for Predictive Diagnosis (1) Principles and Knowledge Base

被引：2
|
作者：
Isoc, Dorin [1 ]
机构：
[1] Tech Univ Cluj Napoca, Cluj Napoca, Romania
来源：
SOFT COMPUTING APPLICATIONS, SOFA 2016, VOL 1 | 2018年 / 633卷
关键词：
Expert system; Underground power cable; Knowledge base; Knowledge piece; Approximate reasoning; Inference engine;
D O I：
10.1007/978-3-319-62521-8_3
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Implementing an expert system is a work that involves a lot of theoretical knowledge and a large amount of expertise. A particular technical application is the predictive diagnosis of underground functioning power cables. Particular are the cables modeling, but also the manner to estimate the problem of life estimation in given conditions. The work achieves the underground cable modeling by putting together determinable information. The template of knowledge piece is next built and the appropriate inference algorithm will be defined. Finally, a functional scheme of dedicated expert system is given. The conclusions emphasize that the standard structure of expert system is retrieved and significant is the project associated to knowledge.
引用
收藏
页码：18 / 33
页数：16
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