KNOWLEDGE-BASED APPROACHES TO FAULT-DIAGNOSIS - A PRACTICAL EVALUATION OF THE RELATIVE MERITS OF DEEP AND SHALLOW KNOWLEDGE

This paper argues that knowledge-based systems are an appropriate tool for the diagnosis of faults in complex devices and that both deep and shallow knowledge have their part to play in this process The success ful implementation and evaluation of the two diagnostic knowledge-base d systems, named DIPLOMA and MIDAS, have shown that such systems are a n appropriate tool for the diagnosis of faults in complex hydromechani cal devices and that they make a beneficial contribution to the busine ss performance of the host organization. Furthermore, it has been demo nstrated that the most effective and comprehensive knowledge-based app roach to fault diagnosis is one that incorporates both deep and shallo w knowledge, so that the distinctive advantages of each can be realize d in a single application.