Fault Detection of Analog Circuits Using Network Parameters
Fault Detection of Analog Circuits Using Network Parameters
复制标题
DOI：
10.1007/s10836-012-5284-5
复制
发表时间：
2012-04
期刊：
影响因子：
--
通讯作者：
A. Kavithamani;V. Manikandan;N. Devarajan
中科院分区：
文献类型：
--
作者：
A. Kavithamani;V. Manikandan;N. Devarajan
本文提出了一种检测模拟电路中元件故障的新方法。驱动点阻抗、传输阻抗、电压增益和电流增益等网络参数用于检测模拟电路中的组件故障，因为这些网络参数对电路组件敏感。使用蒙特卡罗模拟，电路的每个组件在其容差限度内变化，并且找到无故障电路的每个网络参数的最小值和最大值。在测试时，找到注入故障的网络参数，如果任何一个或多个网络参数超过其预定界限，则确认电路有故障。通过二阶Sallenkey带通滤波器和四阶Chebyshev低通滤波器电路对所提出的方法进行了验证。给出了数值结果来阐明所提出的方法并证明其有效性。
A new method to detect component faults in analog circuits is proposed in this paper. Network parameters like driving point impedance, transfer impedance, voltage gain and current gain are used to detect component faults in analog circuits as these network parameters are sensitive to the components of the circuit. Using montecarlo simulation each component of the circuit is varied within its tolerance limit and the minimum and the maximum values of each network parameter are found for fault free circuit. At the time of testing, the network parameters are found for the injected fault and if any one or more network parameters is exceeding its predetermined bound limits then the circuit is confirmed faulty. The proposed method is validated through second order Sallenkey band pass filter and fourth order Chebyshev low pass filter circuits. Numerical results are presented to clarify the proposed method and prove its efficiency.