王力,孙贺

• 1:中国民航大学通航学院
• 2:中国民航大学电子信息与自动化学院

摘要(Abstract)：

针对民航发动机传感器非线性故障,研究基于小波变换与RBF神经网络结合的故障诊断方法。通过小波变换对数据样本加以特征提取,根据非线性故障模型,以训练后的RBF神经网络实施分类。通过实验于Matlab中进行系统测试,结论证实此方法可以实现故障诊断要求,取得了较好效果。

关键词(KeyWords)： 民航发动机;传感器;故障诊断;小波变换;RBF神经网络;特征提取

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金委员会与中国民用航空局联合资助项目(U1733119);; 民航局科技创新引导基金项目(应用技术类)(20150227);; 中央高校基本科研业务费项目(3122017018);; 中央高校基本业务费项目资助(3122017107)~~

作者(Author): 王力,孙贺

DOI: 10.16652/j.issn.1004-373x.2018.20.033

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