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Fault Detection of Artillery Automatic Loading System Based on PCA

机译:基于PCA的火炮自动加载系统故障检测

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The motion process of the automatic loading system is a high overloading and intermittent motion environment will bring about motor windings loosening, transmission system wear and tear, fracture, sensor failure and other security risks or system failures. In the paper no-stationary signal analysis by wavelet transform through wavelet decomposition and non-linear threshold de-noising. And use PCA established system model for on-line monitor. By calculate SPE and T~2 analysis four kind of result to find fault source. Finally through the experimental prove the reliability of the method.
机译:自动装载系统的运动过程是高度过载,间歇运动环境将带来电机绕组松动,传动系统磨损,裂缝,传感器故障等安全风险或系统故障。通过小波通过小波分解和非线性阈值脱模的纸张无静止信号分析。并使用PCA建立的在线监视器系统模型。通过计算SPE和T〜2分析四种结果来找到故障源。最后通过实验证明了该方法的可靠性。

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