Intelligent Fault Detection and Identification Approach for Analog Electronic Circuits Based on Fuzzy Logic Classifier

Analog electronic circuits play an essential role in many industrial applications and control systems. The traditional way of diagnosing failures such can be inaccurate time-consuming process; therefore, it affect the outcome negatively. In this paper, intelligent fault diagnosis identification approach for analog is proposed investigated. method relies on a simple statistical analysis frequency response circuit rule-based fuzzy logic classification model to detect identify faulty component circuit. tested evaluated using commonly used low-pass filter test result presented shows that with average 98% F-score accuracy. comparable performance more intricate related works.