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A Modeling Method Applied to Fault Diagnosis for Constant Linear System

机译:恒线性系统故障诊断的一种建模方法

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摘要

The paper presents a new modeling method applied to fault diagnosis for constant linear closed-loop system by taking the impulse response series as the system model, and provides the calculation process of the method and output of model. The high frequency part of the pulse series, in the method, is reversed so as not to lose the frequency information of the pulse series in its transfer function. On the other hand, the method can also avoid the disadvantage that the learning results of neural network are uncertain every time. In the last part, the application with random disturbance of digital simulation and practical system shows that the modeling method is high accurate and suitable to be applied in fault diagnosis area.
机译:以脉冲响应序列为系统模型,提出了一种用于恒定线性闭环系统故障诊断的建模方法,并给出了该方法的计算过程和模型输出。在该方法中,脉冲序列的高频部分被反转,以便在其传递函数中不会丢失脉冲序列的频率信息。另一方面,该方法还可以避免每次都不确定神经网络的学习结果的缺点。最后,在数字仿真和实际系统的随机干扰下的应用表明,该建模方法精度高,适用于故障诊断领域。

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