DC Hard Faults Detection and Localization in Analog Circuits Using Fuzzy Logic Techniques

Mohammed Merabet, N. Bourouba
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引用次数: 3

Abstract

This paper demonstrates a novel technique based on the use of a fuzzy logic system and the simulation before test (SBT) approach for hard faults detection and localization in analog electronic circuits comprising bipolar transistors. For this purpose, first, simulations of the circuit under test (CUT) are performed before the test stage by investigating the response of the circuit under test in faulty and fault-free conditions. Following this, two signatures parameters—output voltage and supply current—are observed and used for the fault diagnosis; the CUT is simulated using the OrCAD/PSpice software, and the output is analyzed in the DC domain. This method is validated through an inverter amplifier based on the uA741 operational amplifier. Then the results of different experiments are presented to demonstrate the applicability of the proposed method by increasing its efficiency.
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基于模糊逻辑技术的模拟电路直流硬故障检测与定位
本文介绍了一种基于模糊逻辑系统和测试前模拟(SBT)方法的双极晶体管模拟电路硬故障检测和定位新技术。为此,首先,在测试阶段之前,通过研究在故障和无故障条件下被测电路的响应,对被测电路(CUT)进行模拟。然后,观察输出电压和电源电流两个特征参数,并将其用于故障诊断;利用OrCAD/PSpice软件对CUT进行仿真,并在直流域对输出进行分析。该方法通过基于uA741运算放大器的逆变放大器进行了验证。通过不同的实验结果验证了该方法的适用性,提高了算法的效率。
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