journal6 ›› 2004, Vol. 25 ›› Issue (3): 10-14.

• NSFC成果 • 上一篇    下一篇

非线性动态网络的通用分析方法与故障诊断

  

  1. (1.湖南大学电气与信息工程学院,湖南 长沙 410082;2.中南大学信息科学与工程学院,湖南 长沙 410083;3.安徽工业大学自动控制系,安徽 马鞍山 243002)
  • 出版日期:2004-09-15 发布日期:2012-09-22
  • 作者简介:谢宏(1964-),男,湖南省长沙市人,博士生,湖南大学电气与信息工程学院副教授.
  • 基金资助:

    国家自然科学基金资助项目(50277010);高校博士学科点专项基金资助项目(20020532016)

A Universal Method of Analysis And Research on Fault Diagnosis for Nonlinear Dynamic Networks

  1. (1.College of Electrical and Information Engineering.Hunan University,Changsha 410082,China;2.College of Information Science and Engineering,Central South University,Changsha 410083,China;3.Dept.of Automatic Control,Anhui University of Technology,Ma′anshan 243002,Anhui Chian)
  • Online:2004-09-15 Published:2012-09-22

摘要:基于规范式分段线性化总体表达式并应用网络的一些基本知识,列出了非线性动态网络规范式分段线性化方程组.用该法分析动态网络无需计算响应跨越边界的时间,并能将整个动态过程的计算转化为代数的递推运算.在动态网络响应易于用计算机仿真的基础上,提出了基于小波-神经网络的非线性动态网络故障诊断的基本思想.

关键词: 规范式分段线性化, 混合参数方程, 状态变量, 递推算法, 小波-神经网络, 故障分析

Abstract: By using method of canonical piece-wise linearization and fundamental knowledge of circuit theory,a set of canonical piece-wise-linear equations for nonlinear dynamic networks is presented.This analysis method neednt calculate the time when the response crosses a boundary.The another advantage of this method is that the calculation of dynamic response is converted to algebraic recursive computation.Because the dynamic response can easily be resolved by computer simulation,a basic idea of fault diagnosis method of nonlinear dynamic networks based on wavelet-neural network is also briefly decribed.

Key words: Canonical piece-wise linearization, hybrid parameter equation, state variable, recursive algorithm, wavelet-neural network, fault diagnosis

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