学習を含む診断型問題解決システムの開発

抄録

The AI system is expected to support the user's decision work and be able to update knowledge bases to meet changes caused by change in equipment easily. AI engineers, called knowledge engineers, often have to acquire empirical knowledge through interviews with skilled operators and other means. The technical difficulty is known as the bottleneck in knowledge acquisition. Thus, the characteristic and the limit of the AI system are recognized through the actual construction. AI system has shifted from a AI independent system which aims at human expert's substitution to the subsystem to improve user's benefit and convenience.
This paper reports about the tool for knowledge acquisition and its application to the insulation diagnosis of the high voltage rotating machines.