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涡轴发动机自适应混合诊断模型高斯加权聚类方法
引用本文:佘云峰,黄金泉,鲁峰.涡轴发动机自适应混合诊断模型高斯加权聚类方法[J].航空动力学报,2011,26(5):1178-1184.
作者姓名:佘云峰  黄金泉  鲁峰
作者单位:南京航空航天大学,能源与动力学院,南京,210016
摘    要:针对整个飞行包线内涡轴发动机健康参数估计问题,提出基于高斯加权聚类的机载自适应混合模型建立方法.机载自适应混合模型由卡尔曼滤波器和神经网络组成,由于飞行数据样本庞大,采用高斯加权模型对涡轴发动机飞行数据进行实时聚类,利用聚类数据更新神经网络权重,并实现自适应混合模型工作范围的自动扩展.仿真结果表明了该方法的有效性,采用...

关 键 词:涡轴发动机  高斯加权模型  机载自适应混合模型  性能参数估计  卡尔曼滤波  神经网络
收稿时间:4/26/2010 4:48:35 PM
修稿时间:7/4/2010 5:22:40 PM

Gaussian weighted sum clustering method of adaptive hybrid diagnostic model for turbo-shaft engine
SHE Yun-feng,HUANG Jin-quan and LU Feng.Gaussian weighted sum clustering method of adaptive hybrid diagnostic model for turbo-shaft engine[J].Journal of Aerospace Power,2011,26(5):1178-1184.
Authors:SHE Yun-feng  HUANG Jin-quan and LU Feng
Institution:SHE Yun-feng,HUANG Jin-quan,LU Feng(College of Energy and Power Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)
Abstract:A Gaussian weighted sum clustering method of on-board adaptive hybrid model was proposed for health parameter estimation of turbo-shaft engine in the full flight envelope.The on-board adaptive hybrid model was composed of Kalman filter and neural network.Gaussian weighted sum model was used to cluster a huge amount of flight data in real-time and update the neural network weighting.The working range of adaptive hybrid model was increased automatically with this method.The simulation results show the validit...
Keywords:turbo-shaft engine  Gaussian weighted sum model  on-board adaptive hybrid model  performance parameter estimation  Kalman filter  neural network  
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