A KNOWLEDGE-BASED SYSTEM FOR CENTRIFUGAL FAN BLADE DESIGN

被引：9
作者：
CHON, Y [1 ]
KIM, KI [1 ]
KIM, K [1 ]
机构：
[1] UNIV ILLINOIS,DEPT MECH ENGN,CHICAGO,IL 60680
来源：
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE | 1993年 / 6卷 / 05期
关键词：
CENTRIFUGAL FAN; KNOWLEDGE-BASED SYSTEM; CERTAINTY FACTOR; EFFICIENCY; CAPACITY; NOISE; HEAD; FLOW RATE;
D O I：
10.1016/0952-1976(93)90003-G
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The objective of this study is to design the optimal centrifugal fan with specific given conditions, by using a knowledge-based system. In this study, the significant factors for the centrifugal fan such as input variables, output variables and constraints are conceptualized. These conceptualized factors are translated into mathematical forms by centrifugal fan theory. A knowledge data base is developed using the expertise of fan design experts, and a corresponding rule set is developed and applied using an inference engine. A simulation study demonstrates the effectiveness of the proposed strategy.
引用
收藏
页码：425 / 435
页数：11
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