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Fault diagnosis in analogue circuits using AI techniques

机译:使用AI技术的模拟电路故障诊断

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摘要

The authors describe a technique for detecting and locating faults in analogue circuits by checking that the measurements are consistent with the circuit function. The unique representation used accommodates the imprecise nature of analogue circuits. A model of the circuit is formed from the constraints imposed by the behavior of the components and the interconnections. The values of parameters within the circuit are deduced by propagating the effects of measurements through this model. Faults are implied from the detection of inconsistencies and located by suspending constraints within the model. The method does not use fault simulation and is therefore applicable to any type of fault. It is able to detect performance variations, as well as catastrophic failures. Values are represented as ranges within which the true value lies. This overcomes the difficulty of representing the uncertainty inherent in any analogue design or measurements. The method has been successfully used to detect and locate a number of faults in several circuits.
机译:作者介绍了一种通过检查测量结果与电路功能是否一致来检测和定位模拟电路中的故障的技术。所使用的独特表示法可容纳模拟电路的不精确特性。电路模型是由组件和互连的行为所施加的约束条件形成的。通过传播通过该模型的测量效果,可以推导出电路中的参数值。通过检测不一致来暗示故障,并通过在模型中挂起约束来定位故障。该方法不使用故障仿真,因此适用于任何类型的故障。它能够检测性能变化以及灾难性故障。值表示为真实值所在的范围。这克服了表示任何模拟设计或测量所固有的不确定性的困难。该方法已成功用于检测和定位多个电路中的许多故障。

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