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Certain Missile Fault Diagnosis Method Research Based on Dynamic Test

机译:基于动态测试的某型导弹故障诊断方法研究

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Certain missile ATS (automatic test system) improves the fault diagnosis greatly, but it still prolongs with traditional static test method, and leads to many shortcomings. Dynamic test can resolve such problems effectively. Dynamic test for certain missile is realized by simulating the missile’s flight course. According to the missile’s characters displayed at each stage of boost, cruise, fall, swoop in real flight, we issue control commands to course channel, pitching channel and incline channel at the right moment respectively. At the same time, simulate the missile’s pose change by controlling the turntable’s moving. So we can simulate the missile’s flight and attack course factually. This article puts forward a residual error energy characteristic vector method based on wavelet analysis. And use this method to process the dynamic test data of certain missile, extract the fault character. With above understanding, we take advantage of BP neural network to realize fault diagnosis and orientation.
机译:某些导弹的自动测试系统(ATS)大大改善了故障诊断能力,但与传统的静态测试方法相比,它仍然很长,并导致许多缺点。动态测试可以有效地解决此类问题。通过模拟导弹的飞行过程来实现对某些导弹的动态测试。根据在实际飞行中助推,巡航,坠落,俯冲各阶段显示的导弹特征,我们分别在适当的时候向航向通道,俯仰通道和倾斜通道发出控制命令。同时,通过控制转盘的移动来模拟导弹的姿态变化。这样我们就可以实际模拟导弹的飞行和攻击过程。提出了一种基于小波分析的残差能量特征向量法。并用这种方法对某型导弹的动态试验数据进行处理,提取出故障特征。基于以上理解,我们利用BP神经网络来实现故障诊断和定位。

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