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基于遗传算法的WANN的汽车发动机故障诊断分析
引用本文:余丙荣,周明龙,李玲纯. 基于遗传算法的WANN的汽车发动机故障诊断分析[J]. 安徽机电学院学报, 2011, 0(1): 55-57
作者姓名:余丙荣  周明龙  李玲纯
作者单位:[1]安徽机电职业技术学院,安徽芜湖241000 [2]安徽工程大学,安徽芜湖241000
摘    要:利用基于遗传算法的全局优化能力,小波分析具有数据压缩和特征提取的特性,神经网络具有非线性映射和学习推理的优点.结合三者的特点,提出了一种基于遗传算法、小波与神经网络的汽车发动机故障诊断方法,应用汽车发动机的故障数据作为实例验证,GA-WANN模型诊断速度快,鲁棒性好,故障诊断正确率高.

关 键 词:小波变换  人工神经网络  遗传算法  故障诊断

The analysis of fault diagnosis for automotive engine based on genetic algorithm,wavelet transform and neural Network
YU Bing-rong,ZHOU Ming-Long,LI Ling-chun. The analysis of fault diagnosis for automotive engine based on genetic algorithm,wavelet transform and neural Network[J]. Journal of Anhui Institute of Mechanical and Electrical Engineering, 2011, 0(1): 55-57
Authors:YU Bing-rong  ZHOU Ming-Long  LI Ling-chun
Affiliation:1.Anhui Technical College of Mechanical and Electrical Engineering,Wuhu 241000,China;2.Anhui Polytechnic University,Wuhu 241000,China)
Abstract:By means of genetic algorithms-based global optimization,wavelet analysis prosesses the features of data compression and feature extraction and neural networks have the nonlinearity mapping and the advantages of learning reasoning,combining the characteristics of the three,a method of afault diagnosis for automotive engine based on genetic algorithm,wavelet transform and neural network is presented,the practical application to fault diagnosis for gasoline engine verifies that the model enjoys the features of being fast,good robustness and accurate diagnosing.
Keywords:wavelet transform  artificial neural network  genetic algorithm  fault diagnosis
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