A machine learning approach to expert systems for fault diagnosis in communications equipment

This paper describes how a machine learning system (MLS), achieved by using adaptive pattern recognition and filter techniques, is applied as an expert system to fault diagnosis and performance optimisation of microwave digital radios. In other applications the MLS may offer a complete solution or may be combined with more conventional expert system techniques.