Fault-Trajectory Approach for Fault Diagnosis on Analog Circuits

TL;DR

This paper explores a fault-trajectory method for diagnosing faults in analog circuits, utilizing evolutionary algorithms to identify optimal frequencies for fault detection.

Contribution

It introduces a fault-trajectory approach combined with genetic algorithms for effective fault diagnosis in analog networks.

Findings

Promising results in fault detection accuracy

Effective use of genetic algorithms for frequency selection

Potential for improved analog circuit testing

Abstract

This issue discusses the fault-trajectory approach suitability for fault diagnosis on analog networks. Recent works have shown promising results concerning a method based on this concept for ATPG for diagnosing faults on analog networks. Such method relies on evolutionary techniques, where a generic algorithm (GA) is coded to generate a set of optimum frequencies capable to disclose faults.