An AI based approach to automatic fault diagnosis for mixed digital/analogue circuits

Two techniques are applied to a fault diagnosis problem. The data consists of functional test reports for faulty PCBs. The first technique uses an automatically generated decision tree. The second technique seeks to mimic the problem solving behaviour of the expert fault finder and uses a knowledge-base of test reports and associated matching rules. The two techniques are described and compared with respect to performance and implementation difficulty