A Study on Fuzzy Neural Network Diagnosis Modelling

Zhang Xiaodong; Miao Xiaoyan; Zhu Jun

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A Study on Fuzzy Neural Network Diagnosis Modelling

更新时间：2026-07-07

- A Study on Fuzzy Neural Network Diagnosis Modelling
- Vol. 15, Issue 2, (2000)
- 作者机构：
  
  西安交通大学机械工程学院机械工程及自动化系,陕西,西安,710049
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2000
- 稿件说明：
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Zhang Xiaodong, Miao Xiaoyan, Zhu Jun. A Study on Fuzzy Neural Network Diagnosis Modelling[J]. 2000, 15(2).
DOI：

Zhang Xiaodong, Miao Xiaoyan, Zhu Jun. A Study on Fuzzy Neural Network Diagnosis Modelling[J]. 2000, 15(2). DOI：

摘要

本文基于通用神经网络的自适应性和诊断的建模方法

建立了一种新的故障诊断模型—模糊神经网络诊断模型

并对它的智能诊断机理和突出特点进行了深入分析。最后

将该诊断模型应用于某大型汽轮发电机组故障诊断中

分析得出它具有明显的提高诊断精确度的优越性。

Abstract

A fuzzy neural network diagnosis model is established

based on adaptive dynamic performance of the generalized neural network and methods of diagnosis modelling.Its intelligent diagnosis mechanism and outstanding characteristics are elaborated.In the end

this model has been applied to the fault diagnosis of a large turbine generator set

the results show that it features a high diagnostic precision.

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