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Sensor Fusion in Integrated Circuit Fault Diagnosis Using a Belief Function Model

机译:基于信念函数模型的集成电路故障诊断中的传感器融合

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In this paper, a multi-senor information fusion method based on the D-S (Dempster-Shafer) evidence theory is presented for fault diagnosis in an integrated circuit. By measuring the temperature and voltages of circuit components, the fault belief function assignment of two sensors to circuit components is calculated, and the fusion fault belief function assignment is obtained by using the D-S evidence theory. Then the actual fault component is precisely found according to the fusion data. Comparing the diagnosis results based on separate original data with the ones based on D-S theory fusion method, it is shown that the D-S information fusion fault diagnosis method is more accurate. Finally, two fault diagnosis examples of the simple signal magnification circuit and the integrated circuit of industrial case are given.
机译:本文提出了一种基于D-S(Dempster-Shafer)证据理论的多传感器信息融合方法,用于集成电路的故障诊断。通过测量电路元件的温度和电压,计算出两个传感器对电路元件的故障置信函数分配,并使用D-S证据理论获得融合故障置信函数分配。然后根据融合数据精确找到实际的故障分量。将基于单独原始数据的诊断结果与基于D-S理论融合方法的诊断结果进行比较,表明D-S信息融合故障诊断方法更加准确。最后给出了简单信号放大电路和工业案例集成电路的两个故障诊断实例。

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