[1]姚洪兴,赵林度,盛昭瀚.多级模糊神经网络在故障诊断中的应用[J].东南大学学报(自然科学版),2001,31(2):59-63.[doi:10.3969/j.issn.1001-0505.2001.02.015]
 Yao Hongxing,Zhao Lindu,Sheng Zhaohan.Application of Multi-Grade Fuzzy Neural Networks in Fault Diagnosis of Large Machinery[J].Journal of Southeast University (Natural Science Edition),2001,31(2):59-63.[doi:10.3969/j.issn.1001-0505.2001.02.015]
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多级模糊神经网络在故障诊断中的应用()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
31
期数:
2001年第2期
页码:
59-63
栏目:
自动化
出版日期:
2001-03-20

文章信息/Info

Title:
Application of Multi-Grade Fuzzy Neural Networks in Fault Diagnosis of Large Machinery
作者:
姚洪兴 赵林度 盛昭瀚
东南大学系统工程研究所,南京 210096
Author(s):
Yao Hongxing Zhao Lindu Sheng Zhaohan
Institute of Systems Engineering, Southeast University, Nanjing 210096)
关键词:
故障诊断 神经网络 模糊规则 智能诊断 专家系统
Keywords:
fault diagnosis neural network fuzzy rule intelligent diagnosis expert system
分类号:
TP18
DOI:
10.3969/j.issn.1001-0505.2001.02.015
摘要:
提出一种基于模糊神经网络的多级故障诊断系统,根据多级的需要,除了建立故障谱知识库外,还分别建立了频谱特征知识库、振动变化特征知识库和故障位置特征知识库,并对其主要功能做了比较细致的论述. 文中特别对第1,3级采用的基于模糊组织径向基函数神经网络及第2级采用的模糊逻辑神经网络的学习算法做了较全面的论述,同时解决了模糊神经网络随着输入变量的增加,模糊规则呈指数增长带来网络训练的困难. 通过试验,研究了该系统在某炼油厂重催化机组故障诊断中的具体应用.
Abstract:
A fault diagnostic system based on multilevel fuzzy neural networks is presented. According to multilevel, besides the fault spectrum knowledge sets established, there are frequency spectrum characteristic knowledge sets, vibration change characteristic knowledge sets and fault position characteristic knowledge sets. Moreover, there is a more careful description about main functions. In this paper, there is a more comprehensive description about their learning algorithm of the first and third levels neural networks based on fuzzy structure radix function, and the second level neural networks based on fuzzy logic, the problem of fuzzy rule with exponent growth has been solved. By emulation test, the system has been investigated in material application to fault diagnosis in large machinery of some refinery.

参考文献/References:

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备注/Memo

备注/Memo:
作者简介:姚洪兴,男,1964年生,博士研究生,副教授.
更新日期/Last Update: 2001-03-20