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New Approach of Analog Circuit Fault Knowledge Acquisition Base on Simulation

机译:模拟电路故障知识获取基础的新方法

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The difficulties of acquiring fault knowledge severely handicap the development of intelligent diagnosis system (IDS) of electric equipment, especially in analog field. In this paper, the general procedure of knowledge acquisition (KA) by fault simulation is analyzed at first. And then, a new method is presented, which auto-acquires fault knowledge by simulating all possible faults of analog circuit. Here four key strategies are necessary to reduce simulation complexity to a tolerable level and to establish the fault set automatically. The scheme of circuit fault knowledge acquisition flat is proposed to implement this method. Automation of KA, to a certain extent, solves the basic problem of hard task of gathering the fault original data, and makes the knowledge acquired more sufficient. Finally, results of experiment prove its feasibility.
机译:收购故障知识的困难严重妨碍了电气设备智能诊断系统(IDS)的开发,尤其是模拟领域。本文首先分析了故障仿真知识获取(KA)的一般程序。然后,提出了一种新方法,通过模拟模拟电路的所有可能的故障自动获取故障知识。这里需要四个关键策略来将模拟复杂性降低到可容忍的水平并自动建立故障设置。提出了电路故障知识获取平面的方案来实现该方法。 KA的自动化,在一定程度上解决了收集故障原始数据的艰难任务的基本问题,并使知识获得更大。最后,实验结果证明了其可行性。

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