神经网络从损伤状态中训练产生，然后用于诊断一个五层钢框架在一系列震动模拟中的状态。

These networks, trained with analytically generated states of damage, were used to diagnose damage states obtained experimentally from a series of shaking table tests of a five story steel frame.

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研究了基于静态信息调度框架的网络控制的故障诊断问题。

In this paper, networked control systems are modeled based on information scheduling scheme and the fault detection problems of them are studied.

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