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故障诊断的神经网络观测器法
引用本文:张学峰,王镛根.故障诊断的神经网络观测器法[J].航空动力学报,1997,12(2):149-151,218.
作者姓名:张学峰  王镛根
作者单位:西北工业大学
摘    要:以神经网络的自学习代替故障诊断观测器法中的解析计算,提出了一种新的故障诊断方法,从而解决了具有模型不确定性系统的故障诊断问题。对某型航空发动机控制系统传感器故障进行了仿真研究,该方法不仅具有传统观测器法报警及时准确、易于实现容错控制的优点,又不需要获得系统精确的数学模型,对具有模型不确定性系统的故障诊断与容错很有效

关 键 词:神经网络  故障诊断  观测器
收稿时间:4/1/1996 12:00:00 AM
修稿时间:6/1/1996 12:00:00 AM

ANN-BASED OBSERVER FAILURE DETECTION
Zhang Xuefeng and Wang Yonggen.ANN-BASED OBSERVER FAILURE DETECTION[J].Journal of Aerospace Power,1997,12(2):149-151,218.
Authors:Zhang Xuefeng and Wang Yonggen
Institution:7th Dept.Northwest Polytechnical University, Xi'an 710072;7th Dept.Northwest Polytechnical University, Xi'an 710072
Abstract:An Artificial Neural Network(ANN)-based observer failure detection method is presented,which uses ANN's self-learning ability instead of analytical computation of the obsever design to get the redundancy relationship of the system.In order to deal with the failure detection of model uncertainty system,the failure detection of the control system sensor of a given aeroengine has been simulated with the presented method.The simulation shows that this method not only has the advantage of the observer failure detection method,but also has no need for the precise model of system.It is useful to the failure detection of the model uncertainty system.
Keywords:Neural networks  Failure Detection  Observer  
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