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基于RBF神经网络的发动机怠速抖动故障诊断

胡俊 吴士力

交通节能与环保2015,Vol.11Issue(6):48-50,3.
交通节能与环保2015,Vol.11Issue(6):48-50,3.DOI:10.3969/j.issn.1673-6478.2015.06.011

基于RBF神经网络的发动机怠速抖动故障诊断

Engine Idle Wobbling Fault Diagnosis Based on RBF Neural Network

胡俊 1吴士力1

作者信息

  • 1. 南京交通职业技术学院,江苏 南京 211188
  • 折叠

摘要

Abstract

For the accurate mathematical model of engine idle wobbling was difficult to be established, a new approximation algorithm based on RBF neural network was proposed. In this algorithm,the RBF neu-ral network was used to approximate the model approximation ability, and some typical faults of engine idle wobbling were diagnosed. Experimental results show that the proposed algorithm has good efficiency and diagnostic efficiency.

关键词

RBF神经网络/发动机怠速抖动/故障诊断

Key words

RBF neural network/engine idle wobbling/fault diagnosis

分类

交通工程

引用本文复制引用

胡俊,吴士力..基于RBF神经网络的发动机怠速抖动故障诊断[J].交通节能与环保,2015,11(6):48-50,3.

交通节能与环保

1673-6478

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