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Whole Flight Envelope Aero-engine Sensor Failure Diagnosis Based on Neutral Network

机译:基于神经网络的全飞行包络航空发动机传感器故障诊断

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摘要

In consideration of the common sensor failures in aero-engine control system, a new approach is proposed using partition flight envelope and two-stage empirical modeling strategy based on neutral network in this paper. Clusters of input parameter data are formed using GMMs and neutral network status observers are designed and trained for every flight envelope partition, so the destination of the whole flight envelope aero-engine sensor failure diagnosis can be realized in real-time and on-board. Digital simulation results show that this method is very practical, effective and feasible.
机译:针对航空发动机控制系统中常见的传感器故障,提出了一种基于中性网络的分区飞行包络和两阶段经验建模策略的新方法。使用GMM形成输入参数数据的簇,并针对每个飞行包线分区设计和训练中性网络状态观察器,因此可以实时和在机上实现整个飞行包线航空发动机传感器故障诊断的目的地。数字仿真结果表明该方法非常实用,有效,可行。

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