棉纺故障诊断专家系统

COTTON SPINNING SYMPTOM DIAGNOSIS EXPERT SYSTEM

在专家系统的研制与开发过程中,对于知识表示及获取方法的研究占有重要地位。本文提出一种新的知识表示方法一扩展模糊Petri网.运用该表示方法能较确切地处理棉纺领域中一些具有模糊性质的专家知识.我们在EFPN的基础上建立了相应的模糊推理规则并给出了推理算法,构造了一个棉纺故障诊断条干不匀专家系统.

The researches on the representation and acquirement of knowledge, occupy an important point in developing an expert system. This paper put forward a new knowledge representation method—extended fuzzy Petri network. Using this method, we can represent exactly some expert's knowledge, which somehow have a vague property in the field of cotton spinning. On the base of EFPN (Extended Fuzzy Petri Network), this paper defines a group of fuzzy inference rules and the relevant inference algorithms. Later on, a symptom diagnosis expert system is constructed in the field of cotton spinning.