New Aspects of Fault Diagnosis of Nonlinear Analog Circuits

Fault Diagnosis of Analog Integrated Circuits Fault Diagnosis of Analog Integrated Circuits

Research on Fractal Method for Soft Fault Diagnosis of Nonlinear Analog Circuits

The soft fault diagnosis of nonlinear analog circuits is an important guarantee of the stable and reliable operation of electronic products. In view of the low accuracy and heavy computation load of current soft fault diagnosis methods for nonlinear analog circuits, this paper presents a soft fault diagnosis method for nonlinear analog circuits based on fractal theory. Analyzing the single-frac...

Kalman Filter Based Method for Fault Diagnosis of Analog Circuits

This paper presents a Kalman filter based method for diagnosing both parametric and catastrophic faults in analog circuits. Two major innovations are presented, i.e., the Kalman filter based technique, which can significantly improve the efficiency of diagnosing a fault through an iterative structure, and the Shannon entropy to mitigate the influence of component tolerance. Both these concepts ...

Fault Diagnosis of Analog Circuits Using Extension Genetic Algorithm

This paper proposed a new fault diagnosis method based on the extension genetic algorithm (EGA) for analog circuits. Analog circuits were difference at some node with the normal and failure conditions. However, the identification of the faulted location was not easily task due to the variability of circuit components. So this paper presented a novel EGA method for fault diagnosis of analog circ...

A Method for Multiple Fault Diagnosis in Analog Circuits

---Fault diagnosis of analog circuits is essential for analog and mixed-signal circuits testing and maintenance. In this paper, a new method for multiple fault diagnosis in linear analog circuits is proposed based on the large change sensitivity analysis and ambiguity group locating technique. Test equation establishes the relationship between the measured responses and deviations of faulty par...