Detection of Faulty Components in Analog Filters using Fuzzy Logic

In general, it can be challenging to identify and investigate errors in filter circuits. Day by day the challenges in detecting the faults in the circuits has become complex and it is a time-consuming process; Due to these faults, the wrong outputs have been obtained, which can affect the desired output. Hence, as a solution, it is suggested a technique for identifying faults in analog filters. With this approach, it spots circuit issues by taking into account elements like phase margin. For the circuit that is being tested, several defective situations are simulated. Using this information as a foundation, a fault dictionary is created, and the FUZZY INFERENCE SYSTEM is utilized to assign fault index values and categorize the defects.