模糊理论在故障诊断专家系统中的应用  

Applying fuzzy theory to fault diagnosis expert systems

作　　者：张崇刚[1] 郭旭辉[1] 黄昭婷[2] 黄智刚[2] 

机构地区：[1]中国矿业大学北京化学与环境工程学院,北京100083 [2]北京航空航天大学电子信息工程学院,北京100083

出　　处：《中国测试技术》2008年第5期122-125,共4页CHINA MEASUREMENT & TESTING TECHNOLOGY

摘　　要：针对传统专家系统的故障知识表示及获取难、故障诊断推理效率不高的问题,将模糊理论运用于故障征兆的提取和故障知识的表示、用面向对象的技术对故障知识进行维护,采用正反向混合推理、带回溯的搜索策略构建故障推理机,建立一种基于模糊规则的专家系统。将这种模糊规则的专家系统应用于航空电子系统的故障诊断中,表明基于模糊规则专家系统解决了故障知识表示及获取难的问题,故障的推理效率得到了提高。In order to make the traditional fault diagnosis expert system easy to express and obtain fault knowledge, and to raise its inference efficiency, one new expert system was built based on the fuzzy rule. It utilized the fuzzy theory to extract the fault symptom and express the fault knowledge, used the object-oriented technology to maintenance the fault knowledge and used forward and reverse mix inference and bringing back trace search strategy to build fault reasoning machine. After applying this kind of fuzzy rule expert system to the fault diagnosis of avionics system, the results indicated that this system can make it easy to express and obtain fault knowledge and can raise the fault inference efficiency.

关 键 词：模糊知识表示 故障诊断 专家系统 面向对象 推理机 

分 类 号：N032[自然科学总论—科学技术哲学] TP277[自动化与计算机技术—检测技术与自动化装置]