基于混台神经网络的模糊定量推理在故障诊断中的应用

The Application of Fuzzy Quantative Inference Based on Hybrid Neural Network in Fault Diagnosis

本文采用模糊定量推理的方法,解决了故障诊断专家系统存在的模糊问题和实时性问题,同时利用BP与ART的混合神经网络技术克服了模糊定量推理中存在的问题.

This paper adopts the method of the fuzzy quantitive inference to solve the fuzzy and real-time problem that the fault diagnosis expert system exits, while uses the hybrid neural network technique of BP and ART to overcome the problems in fuzzy quantative inference.