Knowledge based system for faulty components detection in production testing of electronic device

A knowledge-based system is proposed and described for faulty components detection and identification, in production testing of analog electronic boards. Its main parts are: the guided measuring probe and diagnostic expert system. Results are reported of using inductive machine learning technique for diagnostic rules acquisition.