首页 | 官方网站   微博 | 高级检索  
     

基于混沌特征的航空发动机故障诊断研究
引用本文:高瑞乾,甘新年,闫源江. 基于混沌特征的航空发动机故障诊断研究[J]. 国外电子测量技术, 2011, 30(3): 24-28
作者姓名:高瑞乾  甘新年  闫源江
作者单位:1. 海军装备部,宝鸡,721006
2. 中国人民解放军91640部队,湛江,524064
摘    要:为有效利用航空发动机故障状态下振动系统的非线性特征,把混沌引入到航空发动机故障诊断中.采用了一种集相空间重构技术和关联维数估计为一体的特征提取方案,确定混沌时间序列相空间重构两个重要参数,给出了关联维数的计算方法,准确估计出实测数据的结果.对3种典型故障振动数据的关联维做了计算仿真,仿真结果表明该方法提取的混沌特征量具...

关 键 词:混沌  航空发动机  故障诊断  关联维数

Study on aero-engine fault diagnosis based on chaotic feature
Gao Ruiqian,Gan Xinnian,Yan Yuanjiang. Study on aero-engine fault diagnosis based on chaotic feature[J]. Foreign Electronic Measurement Technology, 2011, 30(3): 24-28
Authors:Gao Ruiqian  Gan Xinnian  Yan Yuanjiang
Affiliation:Gao Ruiqian Gan Xinnian Yan Yuanjiang(1.Equipment Department of the Navy,Baoji 721006,China;2.No.91640 Troops of PLA,Zhanjiang 524064,China)
Abstract:To use the nonlinear property of aero-engine fault system effectively,chaos theory is used in the engine fault diagnosis domain.A comprehensive feature extraction method is proposed based on phase reconstruction and correlation dimension fitting estimation.The method of selecting two important parameters for phase reconstruction is researched.Correlation dimension calculate algorithm is proposed,and the result is estimated precisely.The results of correlation dimension of 3 types of aero-engine faults are simulated,and simulation results show that the feature parameters which are obtained base on this method have nice classification performance,and have good performance in the application of fault diagnosis.
Keywords:chaos  aero-engine  fault diagnosis  correlation dimension
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号