A Genetic Algorithm-based Solution Search to Fuzzy Logical Inference for Breakdown Causes in Fabric Inspection

被引：7

作者：

Lin, Jeng-Jong ^{[1
]}

机构：

[1] Vanung Univ, Dept Informat Management, Tao Yuan, Taiwan

来源：

TEXTILE RESEARCH JOURNAL | 2009年 / 79卷 / 05期

关键词：

breakdown causes; diagnosis system; fuzzy logical inference; genetic algorithm; BACKPROPAGATION NEURAL-NETWORK; DIAGNOSIS SYSTEM; DEFECTS;

D O I：

10.1177/0040517508093439

中图分类号：

TB3 [工程材料学]; TS1 [纺织工业、染整工业];

学科分类号：

0805 ; 080502 ; 0821 ;

摘要：

This study presents an intelligent diagnosis system consisting of a screening mechanism, which can effectively narrow down the search range for possible breakdown causes, and a search mechanism (based on genetic algorithm), which can help find the solution (i.e., upper boundaries and lower ones) to the inverse fuzzy equation. Through their integration, an intelligent diagnosis system is developed. With the assistance of this system, an operator can find more easily and effectively possible occurred breakdown causes by the observed symptoms during fabric weaving process.

引用

页码：394 / 409

页数：16

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