Applying GA and Fuzzy Logic to Breakdown Diagnosis for Spinning Process

• 作者: Che-Jen Chuang Chih-Feng Ko Jeng-Jong Lin
• 来源期刊: 智能信息管理(英文)
• 学科: 医学
• 关键词: FUZZY LOGIC INVERSE FUZZY INFERENCE Genetic Algorithm BREAKDOWN Diagnosis
• 年，卷（期）: 2017,（1）
• 页码范围: 21-38
• 页数: 18页
• 分类号: R73

摘要

In this study, an effective search methodology based on fuzzy logic is applied to narrow down search range for the possible breakdown causes. Moreover a genetic algorithm (GA) is employed to directly find the intervals of solution to the inverse fuzzy inference problem during diagnosis procedure. Through the assistance of the developed intelligent diagnosis system, an inspector can be easier and more effective to find various possible occurred breakdown causes by judging from the observed symptoms during manufacturing process. An application of the developed intelligent diagnosis system to tracing the breakdown causes occurred during spinning process is reported in this study. The results show that the accuracy and efficiency of the diagnosis system are as promising as expected.