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基于RBF神经网络的航空发动机轴承故障诊断
Aeroplane Engine Bearing Fault Testing By RBF Neural Network
【摘要】 提出一种新的航空发动机滚动轴承故障诊断方法。利用小波包分解对轴承的动态信号进行分析、提取特征,采用RBF神经网络进行承故障诊断。对7类故障进行了实验,结果表明该方法具有很好的故障诊断效果。
【Abstract】 This paper proposes a new method for fault testing on the aeroplane engine bearing. In testing, Wavelet transformation is used to extract features of dynamic vibration information and then a RBF neural network is instructed to test bearing faults. After experiments on seven categories of faults, it is revealed that the proposed method attains a satisfactory effect.
【关键词】 轴承;
小波包分解;
RBF神经网络;
故障诊断;
【Key words】 bearing; Wavelet packets decomposition; RBF neural network; fault testing;
【Key words】 bearing; Wavelet packets decomposition; RBF neural network; fault testing;
- 【文献出处】 长沙航空职业技术学院学报 ,Journal of Changsha Aeronautical Vocational and Technical College , 编辑部邮箱 ,2005年02期
- 【分类号】V263.6
- 【被引频次】3
- 【下载频次】252