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故障诊断在現实世界中是大量存在的。本文旨在探究用于故障诊断的模糊专家系统的体系结构。模糊诊断专家系统的体系结构是基于模糊集和模糊逻辑而建立的,是基于规则的产生式系统。这个系统的输入是模糊集,输出是结论的模糊集。为了便于处理,系统将模糊数据、非模糊数据和关系从形式上予以统一起来。对系统的每个状态均定义了被激活的规则的模糊集,这个模糊集将被递归执行直至碰到一个被激活规则的空的λ一截集为止。最后本文给出了一个应用例子。
Fault diagnosis in the real world is a large number of existence. This article aims to explore the architecture of fuzzy expert systems for fault diagnosis. The architecture of fuzzy diagnosis expert system is based on fuzzy set and fuzzy logic. It is a rule-based production system. The input to this system is the fuzzy set, and the output is the fuzzy set of the conclusion. For ease of processing, the system formalizes fuzzy data, non-ambiguous data, and relationships. For each state of the system, a fuzzy set of activated rules is defined, and the fuzzy set will be recursively executed until it encounters an empty λ-cut set of an activated rule. Finally, this article gives an example of the application.